eChapters

7.1 INTRODUCTION

Web technology revolutionised information technology and GIS of no exception. Analysis of maps available in internet through remote personal computer is called as web GIS. The term web is GIS synonymous with the term internet GIS. Most of the software vendors in the field of GIS have developed their GIS compatible to internet. The advantage of internet GIS is no need to own a GIS software in the personal computer. Maps available in a web site can be analysed for GIS functions as one could do with GIS in standalone personal computer. Applications of web GIS is not limited. Most of the governmental agencies, business people and others put their data in their server and the data could be analysed spatially for the users requirement. Internet mapping is simple, cost effective and reach vast audience.

Internet GIS is useful in field like civil engineering, government organisations, forestry, environment, goescience, utility planning etc.

6.1 INTRODUCTION

Besides simple analysis, GIS is useful to do advanced analysis like network analysis, spatial analysis, 3D analysis and modeling. Different softwares are available to perform such analysis and the above mentioned analysis is done in separate modules of the softwares.

6.2 NETWORK ANALYSIS

Network consists of well connected linear features. Roads, railway line, water distribution system, sewer line, streams are some of the examples of networks. These networks consists of nodes and arcs with designated directions and connection with other linear features. Networks are topology based with attributes for the flow of objects like traffic. Road network will be considered for explaining network analysis.

Road map is digitised with nodes and arcs. Signals, accidents are represented as points. Road is represented as line and two or more roads intersect at nodes. Attributes are added to the nodes and lines. Dynamic segmentation model is used for network analysis. It is built on lines of network. In road network analysis, attributes for travel time, one way street, two way street, right turn, impedance are added to the nodes and arcs. A link is the line running between two nodes. Link impedance is the cost of passing through the link. Travel time is different in links in cities due to varying traffic at different locations. Time taken to pass through a known length of link may give the cost but the travel time in a link is not uniform because of varying speed designated in the link as 20 km per hour and 30 km per hour. Hence it is important to consider the length of link and also the travel time. If the speed limit is 20 miles per hour for a length of 2 miles, then the travel time is 6 minutes (2/20x60 minutes). Also tuning in the network is considered. A road may have a maximum of 12 possible turns excluding U turns. There are right turn, left turn, straight way for each road. Also U turn is possible. This turning takes different time depending on the signal. Straight way takes less time but left and right turn may require some more time. If signals is available then signal time should also be taken into account. Fig 6.1 show the possible turns in a road.

5.1 INTRODUCTION

A GIS database without single error is reliable for decision making. There are various possible sources of errors in GIS. If an error is not removed during scanning, the final output will also have that error. Besides whatever the work has been carried on wrongly scanned map it will add to errors because the source map itself's erroneous. This is like garbage in garbage out proverb. If wrong data is taken for analysis it will only result in wrong output. Hence it is important to remove error at every stage of GIS work. It is important to locate the sources of errors so that due care may be taken while handling a project.

5.2 ORIGINAL SOURCES OF ERRORS

All the equipments which give attributed data and spatial data will give errors. Before going to field or before collecting data all the related instruments should be calibrated properly. Also the instrument should not cross the permissible error. Besides these while using data from diversified sources errors pertaining to those instruments are mixed to give a different result. When very good accuracy is desired data should be collected from high end equipments. Even if one adds the data from a comparbly less accurate instrument to the data of many accurate instrument is then the result obtained finally will not reliable enough. Global Positioning System (GPS) is available with mm accuracy to meters accuracy. Also surveying with suitable map projection and datum is important; otherwise the result will be wrong. Survey instruments posses some inaccuracy and when a person is using it he should have the accuracy over the instrumental like rain gauge, water level recorders which give attributed data which should be checked for instrumental inaccuracies and method of data collection before using it. Likewise satellite and aerial sensors miss some data and some error are inherent. Such errors should be removed before moving ahead. Errors are resulted due to map reduction, enlargement, data editing and computation method adopted. At the same mapping instruments also possess inaccuracies. When after certain interval a person is going for survey, the registered object may have been changed. Many new features might have come up. Hence the established control points are changed and if the wrongly placed control points are taken for survey then the result itself will be wrong. If proper resolution is not available in the instruments, then the instruments may not capture the minute details which are required.

4.1 INTRODUCTION

Database management system is a computer program to store, search, manipulate retrieve and give the result. Vast amount of spatial data are available and it is necessary to arrange them, store them for retrieval and analysis. Attribute data adds intelligent to GIS. Without database, a GIS will be just a Cad software. Cad softwares do not have database. GIS softwares have their own databases besides it has the potential to link with external database like Oracle, MS Access, MS Excel, Informix, INGRESS, Sybase and dbase. The data available in paper has to be digitally stored in a proper order. Previously the data were stored in a a flat file format where the data was stored without any structure. But to search and retrieve and analyse the database, database structures were developed. There are of 4 types of database structures namely Hierarchical, Network, Relational database and Object orientation.

Tables are made of rows and columns. Rows represent a map feature. Columns represents characteristic of map feature. Row is called a record or a tupule column is a field or an item. Table 4.1 is a table where rows 1, 2 and 3 represent the locations with the soil types. A column soil type represents various soil types.

3.1 INTRODUCTION

Geographic Information System handles large volumes of data. It is important to know the nature of data, instruments from which the data is collected and represented in computers. GIS data is either spatial or aspatial. Data is an important component in GIS. Digital data are available for some projects. but for many projects, input data may not be available. Now-a-days, data is supplied by many government, private organizations and also available on internet. If data for a particular project is not available, then the user has to collect the data from satellite imageries, GPS and other instruments and maps from various sources.

Spatial Data

All locations in the earth surface are spatial data. Location of a city, location of a river, location of a lake are represented in earth by their latitude or longitude in global coordinate system or as x,y coordinate in Cartesian coordinate system. Spatial data consists of location, shape and size in earth. A village boundary is represented as a polygon in map. The village is having certain shape of irregular polygon with definite area. As all these are mappable , they are called as spatial data. But name of the village, revenue of a village and description about a village and called as non-spatial or aspatial data.

2.1 INTRODUCTION

GIS is a tool that can be used in varied disciplines ranging from civil engineering to business. Remote sensing data is often brought into GIS to have a complete data set in many natural resource application areas. Full capability of GIS is not used widely. Many a times people use GIS only for digitising maps and to do simple query on maps. But it can also be used in modeling, simulation and forecasting, only then one may regard GIS technology is utilised to its full potential. Some GIS softwares handle simple problems for location based services while other complex softwares posses advanced modules to do all types of spatial, network and 3D analysis. Integration of softwares used in natural resources study are being interfaced with GIS to create scenarios.

Remote sensing and GIS technology is useful in the following fields:

1.1 INTRODUCTION

Geographic Information System (GIS) is the new emerging field and grows at very rapid pace. Now GIS is a billion dollar industry with applications in varied disciplines. At present, GIS is being used by professionals from various disciplines. In this decade, GIS is being used by experts who are good in GIS technology for various applications. The development trend indicates that GIS will be used by common man in near future and at the same time, advanced GIS analysis will be carried out by GIS experts.

Any technology is developed out of necessity and GIS is of no exception. When a large amount of data were available for water distribution systems, road network, sewer lines, telecom lines, electricity lines, gas pipe lines, state wise population, natural resources etc, it is important to store, maintain and retrieve the data for applications. It is not possible to manually browse through the large amount of paper records. Also even if the data is available in an unorganized way in the computerized environment, it is not useful. Hence if the data are referred to locations in earth surface and the data are stored in an organized way, it is possible to retrieve and analyse the data for applications. Hence the solution is GIS and developed today into reality. Developed countries are using GIS widely in many areas but developing countries are moving towards the development of GIS database for their resources.

Remote sensing, aerial photography, cartography, surveying and other field instruments for attribute data collection contributes to the data acquisition. Cartography, surveying, geography, geodesy contributes for mapping process. Disciplines like computer science and statistics, mathematics involved in processing and analysing data . Computer science and mathematics involved in storing the data structure.

GIS maps are intelligent. It has many advantages compared with paper map in this digital age.

Spatial data means data which are referenced to earth. Maps, satellite imageries, aerial photographs are example of spatial data. Attribute data which are attached to spatial data are called as aspatial data or non-spatial data.

If these data are brought into GIS then it is stored in a standard format, it is possible to update, share, retrieve, manipulate and analyse quickly. Much of the time and money is saved in case of reproduction and better decisions could be made

Email can be a wonderful tool for delivering feedback to students. Once a basic understanding of feedback’s role in learning has been established, one can begin to focus on how best to take advantage of the pedagogical functions of the com- munication medium. There is little doubt that email is changing how we commu- nicate and learn. For example, in an investigation of the effectiveness of email as a communication and instructional aid between instructors and students, Yu and Yu (2002) found “empirical evidence supporting the usefulness of e-mail as a prom- ising aid to promote student cognitive growth pertaining to computer knowledge and skills”.

Tao and Boulware (2002) suggest that email communication benefits teachers by “identif[ing] instructional focus and tak[ing] advantage of instructional moments to fit the developmental needs of their students in authentic situations”. They also find that email motivates learners, encourages authentic communication and cre- ates new learning opportunities.

Feedback

Feedback’s influence on learning is indisputable and undeniable and feedback’s varying roles in instruction are heavily researched concepts (Mory, 1992). Understanding how feedback facilitates, and, in some cases, hinders transfer of knowledge is essential to creating effective instruction.

Researchers have focused on the many aspects and roles of feedback in hopes of developing some synthesis that will increase learner performance and improve instruction. Researchers such as Bangert - Drowns, Kulik, Kulik and Morgan (1991), Brinko (1993), Clariana, R.B. and Lee, D. (2001), Clariana, R.B., Wagner, D. and Rohrer-Murphy, L.C. (2000), Kulhavy (1976), Kulhavy and Stock (1989), Kulik and Kulik (1988) and Mory (1992) to name only a very few, have sought to discern the complex role feedback plays in learning. While many studies have been convincingly conducted trying to ascertain how feedback best works in certain circumstances, a consensus has yet to be reached in most, if not all, areas and as Clariana (2000) writes, “There are a number of unanswered questions and perhaps even more unquestioned answers”.

Definition

• If a communication source decodes the message that he encodes, if the mes- sage is put back to his system, we have a feedback.

Berlo (1960)

• Feedback is defined as the action reaction interdependence in communica- tion.

• The return to the input of a part of the output is the feedback.

• Feedback is the reaction on the part of the receiver to a sender’s communi- cation.

Fidelity

Fidelity is said to exist in a communication situation when there is no distortion of the message from the time it leaves the source until it is received. The most effective communication occurs when the message transmitted and the message received are identical i.e., when complete fidelity is there. Some communication theorists believe that complete fidelity can never be achieved that no message is ever received exactly as it was intended by the source. This seems likely, since the source and receiver always have different frames of reference. It is clear, however, that the fidelity of any communication can be vastly improved by several methods.

The psychological sets that can be barriers to communication can be characterized into several basic categories. These sets can occur in the sender or in the receiver in the communication process. The sender has the ability to recognize these barrier categories when they occur and to transform communication to overcome them. However, the receiver is a different story. If the receiver is interested in communication, he or she can recognize when these barriers arise and can consciously overcome them. On the other hand, when a receiver is passive in the communication process, he or she does not recognize the barriers and the sender can do little to overcome the blockage.

The emphasis on greater participation of the beneficiaries in the development pro- cess on general and in message development process on general and in message development on particular has led to a reorientation on the study and operation- alization of the role of communication in development activities. There is a shift from the concept of development communication (DC) with its emphasis on top- down, big-media centered government to people communication to development support communication (DSC) focused on co-equal, little-media centered govern- ment with people communication.

A concomitant development is the emergence of a development professionals : the development support communicator, who mediates between the technical experts and their beneficiaries. This person is required to help the beneficiaries interact with the technical personnel, administrators, etc. as co-equal partners. Thus, the new horizontal axes provided by development support communicator will counter- balance the vertical axes of development communication involving the technical change agents.

Introduction

What is Remote Sensing?

Remote sensing means sensing the objects that are far away from the reach of our senses. It is a tool to identify the characteristics of an object without having any direct contact over it.

In other words, it can be defined as, science of acquiring information about earth’s surface viz., land cover, oceans & coastal, agriculture, forestry, geographical mapping etc, through sensing, energy emission and processing, analysing and recording reflected images.

How does it Work?

Remote sensing process involves interaction between radiation emitted from the object and the target of focus. This can be explained by the use of imaging system that follows seven elements. However, it should be noted at this point that remote sensing not only uses imaging system but also uses non-imaging sensors and sens- ing of emitted energy.

Introduction

Satellites are specifically made for telecommunication purpose. They are used for mobile applications such as communication to ships, vehicles, planes, hand-held terminals and for TV and radio broadcasting. They are responsible for providing these services to an assigned region (area) on the earth. The power and bandwidth of these satellites depend upon the preferred size of the footprint, complexity of the traffic control protocol schemes and the cost of ground stations. A satellite works most efficiently when the transmissions are focused with a desired area. When the area is focused, then the emissions don’t go outside that designated area and thus minimizing the interference to the other systems. This leads more efficient spectrum usage. Satellite’s antenna patterns play an important role and must be designed to best cover the designated geographical area (which is generally irregular in shape). Satellites should be designed by keeping in mind its usability for short and long term effects throughout its life time. The earth station should be in a position to control the satellite if it drifts from its orbit it is subjected to any kind of drag from the external forces.

Introduction

The past decade has witnessed a revolution in the use of ICT in Developing countries. Many people and offices as well as rural farmers own ICT facilities such as personal computers and mobile phones. The largest increases in the use of ICT has been in mobile telephony where subscriptions in developing countries increased from about 30 percent of the world total in 2000 to more than 50 percent in 2004 and to almost 70 percent in 2007 (Cieslikowsk, Halewood, Kimura, & Zhen-Wei Qiang, 2009). While internet use has not increased as rapidly as mobile communication, it increased tenfold in developing countries in the same period (Cieslikowsk et al., 2009). Other ICT facilities such as telecast, radio FM and information centres have also increased in number remarkably during the same period. A study by Farrell & Isaacs, (2009) on ICT in 53 African countries revealed the wide use of ICT in the region with countries such as Algeria, Egypt, South Africa and Botswana leading in ICT use. In East Africa, Rwanda is probably the most advanced country in terms of ICT use with 65% of its population being covered by mobile telephony. The country has also a high level of internet use and access to television and radio broadcasts. In Kenya, Uganda and Burundi the use of ICT is also well advanced, especially for mobile phone subscribers, TV and radio listeners (Farrell & Isaacs, (2009). This high use of ICT is likely to stimulate economic development in developing countries, including the agricultural sector where a high proportion of the African population derives their livelihoods. Before 1990, ICT use in Tanzania was mainly limited to radio and landline telephones. New ICT started in the mid-1990s, and by 2001 it was estimated that Tanzania’s ICT industry had generated USD 300-350 million per year. There are now a number of ICT development initiatives in the country funded by the government, donor countries and the private sector. Such initiatives range from telecentres and mobile phones in rural Tanzania to e-Government initiatives being implemented in the major cities and towns of Tanzania.

Introduction

The Kisan Call Centre is an ICT initiative launched by the Department of Agri- culture and Cooperation, Ministry of Agriculture on January 21, 2004 to instantly respond to farmer’s queries in their local language. Farmers from any part of the country can contact KCC simply like common public do to contact the customer care of their preferred network for queries. If it is a BSNL connection KCC can be contacted by just dialling 1551 toll free number. If it is other network, then farmers can dial “1800-180-1551” and get their query solved. In Tamil Nadu, until 2014, it was Cartel India Limited which acted as Level-III centre for Kisan Call Centre in Tamil Nadu. From May 2014 onwards, the administration of Kisan Call Centre was taken over by Indian Farmer Fertilizer Company (IFFCO) and working since then in the name of IFFCO Kisan.

In today’s condition, the policy makers feel it as a real challenge to bridge the com- munication gap that prevails between two farmers, between two villages, between two regions and perhaps between two countries. The only way to bridge this gap is through some ICT initiatives. Recent studies have shown impressive growth of telecommunication network for effective information utilization and delivery of knowledge and information in the country. In Kenya, the helpline service was start- ed on a pilot basis by GSMA Foundation, Inc., which was funded by Rockefeller Foundation. The technology was named Kenya Farmer’s Helpline. It was mainly started to bring a change in the economic, social and environmental development in the country. The helpline received very good support from the local farmers and till 2010, the helpline solved queries of over 30,000 farmers. During the same period, India solved queried of over one lakh farmers. Now, the number would be much more than what we expect.

Introduction

Audiotex is a voice response application that allows users to enter and retrieve information over telephone. Example Interactive Voice Response System (IVRS). Audiotex is a generic name for interactive voice response equipment and service. Audiotex connected with a telephone is like a data processor connected to a data terminal. They are passive service which provides through appropriate access by standardised procedure for the user of Audiotex service to communicate with database via telecom network (i.e.) a subscriber can retrieve the information at any time by interacting with the audio service equipment by using the existing telephone line.

Audiotex is essentially a content provider. It enables the subscribers to record their message in a computer memory area called a “Mail Box”. The recorded message can be retrieved by the recipient by dialling a telephone number. Audiotex service is a telecommunication system which enables a caller, by dialling a designated telephone numbering beginning with ‘1800’ to receive a recorded announcement or to interact with a programme whereby he/she may communicate by means of a dual tone multi frequency telephone key pad, a touch tone telephone or other similar device with a value added network connected to the public switched telephone system for purposes of sending or receiving information. However, there are differing views across the world on what constitutes “Audiotex service”. European Telecommunications Standards Institute in its ETSI technical report 131 (June 1994) on “Terminal Equipment(TE); An investigation into the need for standardization in the area of stored voice services” has commented that “ It can be seen that there are many differing views as to what constitutes an Audiotex service and, in formal usage (e.g. in lectures or articles on the subject), a distinction is always drawn between voice messaging and the other services (information, consultation, transaction, etc.). It is thus misleading to use the word Audiotex without a previous definition. Therefore, in many countries the term “stored voice service” is used to describe Audiotex and each separate application and service is distinguished by a more precise definition.

Introduction

E-Portal otherwise called as an electronic portal is a webpage that allows business application procedure developed by framework to be easily deployed via internet. Portals are usually created in standard Java format. It utilizes an Extensible Mark- up Language (XML) interface protocol in addition to Java Server Pages (JSP). Portals are given different names based on the field they are created. For example, if the portal is developed to improvise agriculture, then they are termed as agri-por- tals. Similarly, if a portal is developed for academic reasons they are called web portal. Examples of web portals are iGoogle, MSNBC, Netvibes, and Yahoo.

Portal concept has opened new possibilities to address some of the issues concern- ing the personal management of academic information and knowledge through internet. Some of the main issues are the lack of integration, personalisation and customisation of existing academic information sources and systems. A Web por- tal can be defined as a Web site that aggregates an array of content and provides a variety of services including search engines, directories, news, e-mail and chat rooms. Portals have evolved to provide a customised gateway to Web information. A high level of personalisation and customisation is possible (Melzer 1999; Boye 1999). It was felt that the portal concept could be further developed to function as a sophisticated Web interface that can support the task performance (teaching and research) of academics.

Introduction

Knowledge and Knowledge management are concepts, which are debated extensively by managers, analyst and academicians. When we refer to knowledge, most of us mainly tend to think of codified and documented knowledge like patents, databases, manuals, white papers etc. knowledge is intuitive, contextual, linked to experience, past memories and difficult to codify, document and communicate. Unfortunately, there is no universal definition of Knowledge Management (KM), just as there’s no agreement as to what constitutes knowledge in the first place. In broadest context KM is the process through which organizations generate value from their intellectual and knowledge-based assets. It is the practice of harnessing and exploiting intellectual capital to gain competitive advantage and customer commitment through efficiency, innovation and faster and more effective decision-making. Most often, generating value from such assets involves sharing them among employees, departments and even with other companies in an effort to devise best practices.

Today, knowledge is still considered power - an enormous power in fact - but the understanding has changed considerably, particularly from the perspective of organizations. The new paradigm is that within the organization knowledge must be shared in order for it to grow. It has been shown that the organization that shares knowledge among its management and staff grows stronger and becomes more competitive. This is the core of knowledge management - the sharing of knowledge. Knowledge management (KM) is all about managing organization’s knowledge effectively by sharing and having a systematic activity for creation of knowledge and exploiting it for the market and benefit of the organization. KM techniques and processes provide such a structured approach to explicate a significant part of this tactic knowledge document in knowledge repositories and also share in teams, through intensive dialogue and discussions. KM refers to the critical issues of organizational adaptation, survival and competence against discontinuous environmental change.

Introduction

e-Literacy as defined by the United Nations Educational Scientific and Cultural organization (UNESCO) refers to the awareness, skills, understanding and reflective approaches necessary for an individual to operate comfortably in information-rich and IT enabled environments. Most definitions of e-literacy or digital literacy covers three abilities

• The ability to use digital technology, communication tools or networks to locate, evaluate, use and create information

• The ability to understand and use information in multiple formats from a wide range of sources when it is presented via computers

• The ability to perform tasks effectively in a digital environment

To promote e-literacy, every state in India has initiated a project in their own names. For example, in Kerala the e-literacy is promoted in the name of Project Akshaya. Initially, this project was started with a noble intention of making at least one member in each of 64 lakh families e-literate. The pilot project started in Malappuram, and was inaugurated by His Excellency Dr. A.P.J. Abdul Kalam, former President of India on 18th November 2002. 100% eLiteracy was achieved in eight districts in Phase 1 and the project has been roaring success. Nowhere has such a feat been attempted or accomplished. The vision and scope of the project is beyond comparison. The operations of Akshaya as unfolded so far consist of three distinct phases. The first phase is that of enabling the masses by imparting basic skill in computer operations and making them familiar with internet. This phase is the period of eLiteracy training. In the initial phase, the Akshaya ecentre imparts basic training that not only familiarizes people with the basics and the scope of IT, but also ensures hands-on-skill in operating a computer, using the Internet etc to at least one person in the 64 lakh families in the state that makes it the largest rural eliteracy training project worldwide. Malappuram is declared as the first eliterate district in India. Malappuram and Kannur districts were already declared 100% eliterate. Kollam, Kozhikode, Thrissur and Kasaragod districts achieved eliteracy above 90%. So far around 33 lakhs beneficiaries were trained.

Introduction

Interactive media is the integration of digital media including combinations of electronic text, graphics, moving images, and sound, into a structured digital computerised environment that allows people to interact with the data for appropriate purposes. The digital environment can include the Internet, telecoms and interactive digital television. No wonder it is difficult for new entrants to understand. The important concepts to hold on to are ‘interactive’ and ‘media’ across a range of ‘delivery channels’ or ‘platforms’. There are many terms used to denote the interactive nature of digital applications—multimedia, new media and interactive design are common examples. Because the interactive sector has quickly evolved through phases, the terms have often been coined to reflect a phase that then gets surpassed. A quick historical overview will give the background that causes confusion for those joining the dynamic sector.

The word Multimedia used to have a specialist connotation for the audio-visual industry. Uses of multiple or mixed media in such analogue systems as slide shows or overhead projectors were known as ‘multimedia’. But this specialist use was superseded by the arrival of digital technology. Integrated digital media was termed interactive multimedia and usually shortened to plain multimedia for convenience. The need to differentiate between analogue (linear) and digital (interactive) uses of media spawned other terms like New Media and Digital Media. The term ‘New media’ carries its own problems as the media associated with the original term are replaced with newer instances of the ‘new’. Obsolescence is endemic in the interactive arena. However, the term remains in use although Digital Media and Interactive Media are more stable terms and are being used increasingly. The term Interactive Media highlights the interactive connotation that is a key characteristic of the difference between the older style media and the new. ‘Social media’ has evolved to describe the more recent success of digital social sites such as Facebook and MySpace, and would include the phenomenon of mobile texting, especially twitter.

Introduction

India is well-known around the world for its rapid economic growth rates over the last fifteen years or so, fuelled in part by the spectacular growth in its export- oriented software and ICT-based services sector. Many other countries look to India as a model for global outsourcing and try to imitate elements of this in their own strategies (Carmel 2003; Heeks and Nicholson 2004). Success at a particular period of time does not, of course, guarantee its continuation and commentators have expressed concerns such as rising wage rates and skills shortages of ICT professionals (CACM 2007), and increasing competition from countries such as China (Negroponte 2003). It is likely, however, that India will remain a major player in the ICT industry for years to come and thus its global image as an ICT success story will continue. Viewed from a broader development perspective, things are not so simple. The new wealth that has arisen in India from the ICT boom benefits the relatively wealthy and educated in the first instance (Kambhampati 2002). Will this trickle down to the poor and uneducated? Statistics paint a mixed picture of the current situation. On the one hand, India is now the world’s fourth largest economy in purchasing power parity terms, and has enjoyed high growth rates for over a decade rising to an average of over 8% per annum in the period 2004-7 (World Bank 2007).

On the other hand, India was ranked as 128th out of 177 countries on the human development index 2005 (UNDP 2005) which is a composite index based on life expectancy, literacy and education levels, and economic standard of living. Shocking statistics include the percentage of malnourished children under 5 being 46%, the adult female literacy rate as only 48%, and the percentage of the rural population using adequate sanitary services as 18% (World Bank 2007, UNICEF 2004). A major development issue, therefore, is whether India can seriously address the needs of all of its people, including the vast numbers of poor and uneducated in the rural areas and the urban slums. A related sub-question is whether, and to what extent, can ICTs be used to provide development benefits to all Indian citizens. There are increasing attempts to use technology in this way through projects such as e-government services and telecentres in poor areas.

Introduction

In today’s world, the use of Information and Communication Technology (ICT) have become more common and part and part of human life. It plays many roles for a country’s overall growth and economic development. Among all developing countries, the presence of ICT is greatly felt in India. People here use ICT devices mainly to access and share data information available around the world from any part of the country and at any time with just one click. In the last fifteen years, India’s economic growth has been remarkable in trade and commerce, communication technologies, education, transportation, agriculture and administration mainly due to development of advanced software and service based applications. India stands as a role model for many other countries in framing ICT based policies and implementing independent strategies for global contracts (Carmel 2003; Heeks and Nicholson 2004). Since, its significance is highly realised by the Government, bureaucrats and policy makers’ efforts are now being carried out to utilize ICT tools for improving the lives of the Indian rural maases and people below poverty line.

Organizational communication can be defined as the process of the flow (Transmission and Reception) of goal oriented messages between sources, in a pattern and through a medium or media. And organizational communication is the study of how people communicate within an organizational context, or the influence of, or interaction with organizational structures in communicating / organizing.

An additional elements in organizational communication (not present in interpersonal communication) is the flow pattern of messages. Thus here are 6 elements in organizational communication.

1. The transmitting source

2. The receiving source

3. Source (the target)

4. The transmitted message

5. The goal of the message

6. The medium or media and the flow pattern (which is called network). The transmitting and receiving sources are the people sending and receiving the message.

The word communication comes from the Latin communis meaning common. This implies that when we communicate, we are trying to establish commonality with someone through a message. Communication then is a conscious attempt to establish commonality over some idea, fact, feelings and the like with others. In essence, it is a process of getting a source and a receiver tuned together for a particular message or a series of messages.

According to Thayer (1968) there are four types of communication. They are:

Intrapersonal Communication

This refers to communicating with one’s self. It refers to organizing and converting sensory data into meaningful messages having some relevance or utility for an individual’s past, present or future behaviour. Because the psychological system of a human being is constantly engaged in making sense of its environment in the service of that orgnaism’s adaptive and goal seeking needs, the question is not whether communication is going to occur, but what communication and with what consequences. Communication is a continuous process and is determined by an individual’s take-into-account abilities and take - into - account susceptibilities. However, these take - into - account abilities are a function of the capacity of an individual’s conceptual system to ascribe meaning or significance to certain patterns and sequences of the events going on in his internal and external environment.

Intrapersonal communication is a co-function of the individual and of what is going on in his environment that has immediate relevance for him. All that we perceive and comprehend, must be perceived and comprehend through ourselves.

Mass Communication

The term ‘mass communication’ was coined at the end of the 1930s. The term ‘mass’ denotes great volume, range or extent (such as of people or production), while ‘communication’ refers to the giving and taking of meaning, the transmis- sion and reception of messages.

The term ‘mass’ was first formally defined by Herbert Bhumer (1939) as a new type of social formation in modern society, by contrasting it other formations, es- pecially the group, crowd and public.

Gerbner’s (1967) definition of mass communication is hard to beat. He defined it as social interaction through messages.

Mass communications comprise the institutions and techniques by which special- ized groups employ technological device (press, radio, films etc.) to disseminate symbolic content of large, heterogeneous and widely dispersed audience.

Models Definitions

In social science research a model is a tentative description of what a social process, say the communication process or a system might be like. It is a tool of explanation and analyses, very often in a diagrammatic form, to show how the various elements of a situation being studied relate to each other.

The term model can also refer to a particular process or object, which is used as a point of reference, when an attempt to explain the unknown is being made. It basically comprises involving an analogy to throw up the similarities between the phenomena to be explained and one, which is well known, i.e., the model.

The simplest definition of a model is that it is an analogue. A model is a relatively well-developed analogy. Given two objects or processes which are dissimilar in many respects, one is an analogue of the other to the extent that the physical or logical structure of one re-presents the physical or logical structure of the other.

The advantage of models in communication research is that it allows the researcher to account for different variables in different communication situations. Models only represent systems or processes. Since they are not real, they are just symbolic ways of looking at systems to help us to think about them more lucidly. Again since models do now show every part of a system, they are usually incomplete in that sense. Even those that are shown are represented only in enough detail to help us look at the processes or features in which we are interested. Models give us an idea of complicated objects or events in a general way. They enable us to see how a particular communication event fits into the general pattern. They provide a classification for an old problems, and familiar events. They help us by providing a structure of references for purposes of study. Theories are not models and the most fundamental difference between a theory and a model is that the former is an explanation whereas the latter is a representation.

Concepts

The concepts of development communication has now been adopted by almost all the countries of the third world. It is all about to inform, motivate and influence all sectors and levels of peoples of a developing country to use unfamiliar ideas, skills and instruments, thus adding the long neglected social component without which the process of development remain dormant. Thus importance of communication as a tool to motivate and persuade people for eliciting positive response to various developmental ideas grow manifold.

The evolution of the term ‘ development’ has had a fascinating history about itself. In its broadest sense ‘ development’ tends to be umbrella under which several phenomena - varying from human and spiritual development to economic and community development, as well as technological development have become related. Defining ‘development’ is not an easy talk. It has been interpreted in various ways by sociologists, economists and development planners. They defend the term according to their own frame of reference. Modernization, social change and enhancing quality of life are often used in one way of the other in explaining the term. In all cases development suggest some amount of improvement, self-reliance, uplift and progress as also awareness and self-awareness to some extent.

The eminent communication scholar, Everett M. Rogers, has development this process of thinking about development in this book communication and development critical perspectives (1976), as under “Development as a widely participatory process of social change in a society, intended to bring about both social and material advancement (including greater equality freedom and other valued qualities) for the majority of the people through their gaining greater control over their environment.

The new paradigm of development does not envisage the role of communication as that of magic multiplier of development, however, it is certainly envisaged to play a facilitate role in the process of development.

Communication is a key to understand things between two people. Today’s communication is entirely different from pre-historic era and has taken many evolution throughout the years. Before alphabets, signs, symbols, letters and telephone evolved, communication was restricted to interpersonal interaction (i.e.) from one person to another in the form of gestures. It is in other terms called non-verbal communication. Today, communicating between two or more people has become too easy that one can communicate with more than 10 members at a time which is in technical means called conferencing.

The growth of internet has paved way for innumerable means of communica- tion. In other words it can be told as, communication is re-defined by technol- ogy. Texts, email, tweets, tele and video conferencing have widely saved much time of people and made them recipients of today’s fast moving world.

In this Chapter the precision farming/ Agriculture is discussed along with its steps of implementation. It also includes how artificial Intelligence plays role to perform precision farming/ agriculture in various way along with its scope, limitation and challenges.

Introduction

The primary source of livelihood is agriculture in India, where two thirds of India’s population, services and the private sector account for the remainder. Agricultural land accounts for about 43 percent of the geographical area of India. In earlier days, India was largely dependent in terms of food imports, but over the years, the country’s production of grain and seeds was self-sufficient, and this effort led to the formation of the Green Revolution. In fact, there was strong effort to achieve food self-sufficiency. This trend has continued up to now and continuous improvements have occurred. Precision agriculture or precision farming means the right thing to do, in the right way, on the right place and at the right time. Precision agriculture is expected to suit the agro-climate activities to improve application precision. Farming land has declined a bit in the last 40 years but the number of farmers has increased. According to the 2010–11 Agriculture Census, a total of 138.35 million operating holdings were estimated (single farmers) and 159,59 million hectares were covered by operations.

Precision agriculture is a management technique that collects, processes and analyzes temporary, spatial and individual data and integrates this with other information in order to support management decisions based on an estimated variability to enhance efficiency of use of agricultural production resources, productivity, quality, profitability and sustainability. Precision Agriculture manages every input of crop production (fertilizer, specifically found calestone, herbicide, seeds, insecticide, etc. Reduce waste, boost income and maintain efficiency Place. Precision Agriculture adapts soil and crop management carefully to suit the different field conditions.

Introduction

The conventional approach of the human person for plant classification is comparing the color and shape of the leaves, but by using Artificial Intelligence analysis can provide quicker and more detailed results by analyzing the morphology of the leaves and provides more details about the leaf properties. Species Recognition has been a very important part of agriculture and there are thousands of species in plants which can be identified by a single person and even if it does so It will take a huge lot of time to do it.

In this chapter we will discuss and built a project related to identify species in flower with an image. In this project we will be using Artificial Intelligence different branches like machine learning, deep learning and computer vision to build such an amazing project. So, let’s begin

Introduction

In agriculture, plant diseases have always been a major problem, as they cause crop quality to decrease, resulting in yield. Plant disease has a range of effects from minor symptoms to serious damages in whole crop areas, which lead to high financial costs and significantly impact the agricultural economy, particularly in developing countries dependent on a single crop or on a few crops.

Various approaches have been developed to detect disease in order to avoid significant losses. Causal agents have been precisely defined by methods developed in molecular biology and immunology. However, for many farmers these techniques are inaccessible and require detailed knowledge of the field or substantial time and energy to be used. According to the United Nations Food and Agriculture Organization, most farms in the world are small and family-owned in developed countries. Such families provide food for a significant proportion of the population of the planet. However, hunger and food insecurity are not rare and there is restricted access to markets and services. For the above reasons, a great deal of work has been undertaken in order to establish methods that are sufficiently reliable and available to most farmers. Where Plant disease is an essential factor contributing to a major decline in plant production quality and quantity. Plant disease identification and classification are a significant role in improving plant production and economic development.

In this chapter of machine learning algorithms we will cover the basic algorithms of machine learning with their implementation using dataset and discuss their pro’s and cons of algorithms for better understanding and how to use them in any project or with any dataset to get an correct result which can useful for research or study.

Key Component

We defined a data set composed of audio, images and binary labels that provided an understanding of how we could train a model from snippets to classifications. This sort of problem is one of many kinds of machine learning problems when we try and predict a specified unknown label given known inputs, provided that a dataset of examples for which labels are known is called supervised learning. Let’s discus what are the major key components we have to get there

In this chapter we will cover all the basics libraries and some frameworks of machine learning, deep learning and computer vision. We will discuss all about their use with an example and instruction which will states the commands to install to those libraries for building any project in our system. So let’s begin

What is a Library?

Library is an aggregate of features and methods that allow you to take many actions without getting your own code written.

For instance, the libraries that you have to know are if you work with data, numpy, scipy, pandas, etc. They have very simple data processing functions that save you time for small tricks.

In this chapter we will talk about the tools which are required to make project in artificial intelligence. All this bellow discussed tools are uses python programming language for making any project in any respective field. We have discussed about how anyone can install and use the tools to built a real time project in artificial Intelligence.

Using Python IDE

To download and install Python visit the official website of Python https://www.python.org/downloads/and choose your version. We have chosen Python version as per requirement all the codes in this book were on python version 3.6 as you can see in the Fig. 7.1.

In this chapter we will look at the Expert system which can guide and assist an individual once it is provided with the enough Knowledge to do so. Here we will discuss about expert system and its architecture with proper steps of making an expert system in any field by several tools which are available to do so. For expert systems the most important is Knowledge Engineering which is the collection of Knowledge from an expert and Engineering it in such a form that a machine could understand it.

Introduction

One of the pioneering fields of AI study is Expert Systems (ES). It is proposed by researchers in the computer science department of Stanford University. An expert system is a computer system which emulates a human expert’s decision-making skills. Expert systems are developed by reasoning through information structures, representing laws, rather than through traditional procedural code, in order to overcome complex problems.

Expert Programs use professional expertise systematically to address human expert problems. An expert is an individual with experience in a specific field. The expert has expertise or special credentials which most people do not learn or care about. An expert can solve or solve problems more effectively than people can solve. Expert System actually emulates all these qualities of expert and solve the problem in a better way and fast.

Today, Expert System (ES) is used in the fields of finance, research, engineering, technology, medicine and many others where there is a well-defined problem area. The fundamental principle is that an expert method should also define the steps to illustrate why a problem can be solved. Unless an individual can justify his reasoning for Expert System.

Introduction

Agriculture has played an important role in the global economy in recent years. The further growth of the population is leading to a gradual decrease in the area of the agricultural land and further growing stresses on the farm system. Agricultural food production methods are rising in demand for successful and healthy. Innovative sensoring and motive technologies and advanced information and communications systems and Artificial Intelligence must supplement conventional agricultural management methods to speed up farm productivity growth more accurately, thereby promoting the production of high-quality and high-performance agriculture. Computer vision monitoring systems have become valuable tools in farm operations over the past decades, and their use has increased significantly.

What is Computer Vision?

Computer vision can be characterized as a field of AI for extracting information from digital images. The type of data obtained from an image may be different from recognition, navigational space measurements or applications of increased reality.

The applications of computer vision can also be described. Computer vision builds algorithms that recognize and use the quality of pictures for other purposes.

Deep learning emerged as a serious contender in the field from a 10-year explosive computational development. Deep learning is therefore a special form of machine learning, the algorithms of which are based on the structure and function of the human brain.

Machine learning VS Deep learning

Deep learning is arguably the most efficient form of machine learning. This is so important because they know the best way to solve the problem and how to fix everything. The following is a description of deep learning and machine Learning:

As we know there are different branches of artificial Intelligence and machine Learning of one of them which has become a most advance and widely used branch of artificial Intelligence in every field of this generation whether it may be either electronics, civil, mechanics, Bioengineering, medical or agriculture etc., In this chapter we will study about machine learning and its types with the most common algorithms of machine learning which are being mostly used in different scenarios and their implementation using python language has been discussed in the implementation part of this book. Here we will also see where machine learning can be used.

i. Introduction

Machine learning is a subset of Artificial Intelligence and one of the most important part of artificial Intelligence. It is a field of Computer science which is totally differs from traditional computational approaches. In traditional approaches, a set of instruction is explicitly provided to the algorithm to solve any problem. Whereas in Machine Learning is a domain of an AI which uses a statistical analysis and can enables a system to always learn from its data without any external inputs in order to give an essential output. Due to this machine learning makes computers in advance to make model which provide decision based on input data.

Machine Learning involves a lot of algorithms which usually based on their requirements and functionalities to use where and when. To make a machine learning model we always require the data on which model can be made. Machine learning uses the algorithm which continuously learns from the data available as training data. A machine learning model is generated after the training of algorithm from the data. After the training completes, when trained model is provided with other real-life data then you can get an essential outcome. For example, in figure 3.1 Machine learning Model we use a predictive algorithm and make a model by providing it with some data, and later on we can receive prediction’s based on real data as input.

As we have seen how artificial Intelligence can be useful in agriculture but the nest question always come in mind is that from where and how we can start to learn and what are the model of learning an artificial Intelligence. As Artificial Intelligence is a huge part of Computer Science which means we need an language as medium to perform it and we always prefer Python for that which is very dynamic and easy to learn. In this chapter we will learn about python basics so that in further implementation of artificial Intelligence it will be helpful to us.

I. Introduction

Python is a remarkable language that can claim to be easy and strong. You will be amazed to see how simple it is not to focus on the language you are programming, but on solving the problem. Guido van Rossum was the creator of the Python language which is named after the BBC show “Monty Python’s flying Circus”.

Python is formally introduced as:

“Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.”

The artificial intelligence (AI) world is quickly growing as it reaches several different industries. You currently will see AI used for many different purposes from agriculture to automotive; with the passage of time you will see even more of it. Agriculture is one of the most important branches of the IT industry. Agriculture is an important industry and is a big part of our economy’s base. In terms of annual sales, the agricultural industry contributes to our economy almost 17%.AI is becoming a technical advancement that boost and protects crop yield, as climate change and populations rise. Here in this chapter basics of Artificial Intelligence have been discussed how it can be related to agriculture.

1. Introduction

Artificial Intelligence has become most prominent in current generation. Every field is utilizing Artificial Intelligence for their better results and which also result in saving a lot of time. As Artificial intelligence is boosting different sectors to increase the productivity and efficiency and its utilization across different sectors like in the field of CIVIL Artificial Intelligence can be used to analyze the structures of buildings, dams etc., and Artificial Intelligence solutions are assisting in so many ways to overcome the traditional challenges in every field.

I. What is Artificial Intelligence

Artificial Intelligence is one of the most prominent field of Computer Science Engineering which attempts to redefine the tasks which are carried out by humans in their daily life with better results and maximum accuracy. Artificial Intelligence is actually meant to ease the work of human where the word artificial states the work done without any human interference and intelligence states the capabilities like human brain to perform tasks. The field artificial Intelligence has given so many definitions from time to time which can be typically stated as

Introduction

The right to food is the most fundamental among the human rights. Food production, distribution and consumption is an important issue for developing countries. The dimensions of food problem in Asia have been changing since the food crisis of sixties and seventies. The lesson of those years is well-learnt, and attaining self-reliance in food came to be recognized as a key goal of development. Most of the Asian countries have been suffering with many problems such as slow growth rate in cereal production, large share of agriculture in the gross domestic product, weak infrastructure, low purchasing power and massive rural poverty which had made the South Asia region as a whole food deficit (Plumb, 1998).The possibility of impending world food crisis looms largely from increasing pressure on national agricultural sector to meet the demands triggered by rising population, growth in people’s income and change in expenditure and consumption pattern (Ghosh, 2001).

Introduction

In India, per capita cereal consumption has been declining since the early seventies, despite a significant increase in per capita cereal production (Radhakrishna and Ravi, 1992 and Rao, 2000). Cereal consumption per capita per month fell from 15.35 kgs in 1970-71 to 12.70 kgs in 1999-2000 in rural area and from 11.40 kgs to 10.40 kgs in urban area during same period. It might be due to shifting of consumers’ choice from food to non-food items; from cereals to non-cereals within the food group and from course to fine cereals within the cereal group. The decline in cereal consumption has been higher in the rural area due to development of rural infrastructure and availability of job opportunities which ultimately helped in improving their level of income (Rao, 2000). Despite spectacular growth in food production during last 30 years the problem of malnutrition still persists across different regions in India because increase in food grain supply alone cannot conquer hunger and malnutrition.

The consumption pattern and nutritional status have also experienced a significant change during last two decades in Bihar. Cereal consumption per capita per month has declined from 476 gms in 1983 to 455 gms in 19992000. The situation is more alarming in poor households who constitute about half of rural population in north Bihar. There is lack of research on consumption pattern, nutrient intake and nutritional status based on household data, particularly in context of Bihar. In view of the above observations the present study is undertaken to analyze the consumption pattern and nutritional status of poor households in north Bihar.

Introduction

The Integrated Watershed Development has come to be recognized internationally as an important holistic approach to natural resources management and poverty reduction, wherein promoting the concept of sustainable development. In the Indian context, watershed development has come to be acknowledged as key and discrete units in rural development which forms an important vehicle for achieving the objectives of increased production and availability of food, fodder and fuel restoration of agro ecological balance and in improving the livelihood status of the village communities.

In line with the above, the conceptualization of Integrated Watershed Development Project Hills-II (initiated in September 1999) has been built up on the success of IWDP Hills-I project with a laudable vision to arrest environmental decline, boost agricultural growth, and ensure better management of scarce land and water resources and reducing poverty dimensions in the Siwalik & Karewas regions, which are one of the most environmentally degraded areas in India. The project area encompasses two sub-watersheds in sub-tropical belt of Siwaliks of Jammu region and two in temperate Karewas of Kashmir valley, covering an area of 1,11,080 ha. Ramnagar and Akhnoor sub-watersheds are located in Siwalik range of Jammu region whereas the sub-watersheds of Rajwar and Rambiara are located in Karewas belt of Kashmir valley.

Introduction

Food and nutritional security continues to be the main plank of India’s food policy despite its tremendous achievements on food production front during the last three decades. The Green Revolution helped India to overcome chronic food scarcity and made it self sufficient in food production. The per capita availability of cereals increased from 360 gms/day in 1966 to 422.4 gms/day in 2004. On the other hand, availability of pulses, the main source of protein for over- whelming vegetarian population of India, declined from 48 gms/day to 38 gms/day, which is attributed largely to diversion of land from pulses to cereals crops (Gopalan et al, 2004). The extra income generated due to Green Revolution has increased the access of rural population to a wide variety of foods, like milk, meat, eggs, fish, fruits and vegetables, which perhaps could offset the protein deficiency due to decline in per capita availability of pulses, therefore, resulting in the increase in per capita consumption of protein in rural areas. The trends in cereal consumption indicate that per capita cereal consumption has been declining in most of the states. This trend is more prominent in agriculturally developed states, like Punjab and Haryana. In these states, production and per capita consumption of milk have increased substantially.

The dietary pattern in India remains cereal based and the expenditure shares of foods of animal origin (meat, eggs and fish) and fruits, which are rich in nutrients, are trivial. More than 22 per cent of the population stays below poverty line and generally suffers from various nutritional disorders due to lower purchasing power. The nutrient rich foods like milk, meat eggs, fruits, etc. are highly responsive to income changes. Besides, choice of food and consequently the level of nutrient intake is also influenced by the other economic, social, cultural and climatic factors. Spurt in income growth and increasing consumerism in rural areas in recent years has heightened the need for understanding the food consumption pattern. Using the farm level data from three regions of Maharashtra this paper attempts to examine the pattern of consumption of nutrients by cultivators and sources of supply of different nutrients.

Introduction

Goats provide multiple products like chevon, milk, skin, fibre, manure and transport. Pashmina occupies a prime position among animal fibres for its firmness, warmth, durability, lightness, softness and ability to absorb dyes and moisture compared to mohair and/or wool for being free from modulation and crimps. Pashmina is highly valued fibre for manufacturing quality apparels. It has recorded its name in the Guinness Book of World Records for being costliest cloth in the world after trade ban of most precious natural fibre Shahtoosh (King of fibre) of small Tibetan Antelope known as Chiru. In India, two recognized pashmina breeds are Changthangi and Chegu. Changthangi is native to high altitude areas (3700 to 4500m) in Ladakh region of Jammu and Kashmir reared by a pastoralist nomads Changpas whose population is 1,96,000 (LADHC, 2006). The Chegu breed is distributed in cold-arid trans-Himalayan mountain ranges from Himachal Pradesh to Uttaranchal at an altitude of more than 3000 m (Thakur et al., 2006).

Introduction

The world’s population is expected to grow from 6 billion people in 2000 to 7.5 billion people in 2020. Availability of land for farming is on the decline, and water for agriculture and other uses is increasingly scarce. Together these and other forces will challenge the capacity of the world’s food production system. The world has experienced an unprecedented increase in population during the past century, with a billion people added every decade during the last three decades alone. Dramatic shifts in production and consumption of food have accompanied this population explosion, including a surge in grain production, a spectacular rise in meat production and consumption, and the emergence of an increasingly vital role for international trade (Fig. 1). High-yielding varieties of wheat and rice swept across much of Asia during the 1970s and early 1980s, easing fears of imminent famine. Cereal yields have risen more modestly in recent years, but they have still outstripped gains in other crops such as cassava, potatoes, and beans.

Introduction

Food security at the national level refers to the capacity of a country to provide sufficient food for its population, and will depend on such factors as food production in relation to the population, food aid and within-country food distribution. The ability to withstand emergencies arising from drought, floods, and such other calamities, also fall in its purview. While many definitions of household security exist, they agree on a household’s ability to get sufficient food to the household. Gillespie & Mason (1991) gave a more lucid account and defined household level food security as access to food that is adequate in terms of quality, quantity, safety and cultural acceptability, for all household members. Two main factors determining household food security are income generated by the members of the family from the avenues available and food prices in operation at the given point of time. The cost of achieving and maintaining food security is important.

Food security takes into account only the nutritional requirements of the individuals in the society, which is basic to all the living beings for keeping the body and soul intact. Our needs go beyond this and necessarily include fiber and shelter, not only to be called civilized but also to face vagaries of weather. Once we add these dimensions to the food security then it can be termed as livelihood security. In this century, many driving forces are added in the process of evolution of strategies. Loss of biodiversity, global climatic change and information dissemination are some of the major factors that drive the rate of livelihood changes and determine the direction of its evolution.

Introduction

The availability of food depends on the production and distribution while the access to food is determined by an individual’s purchasing power. Thus, the food security in the framework of economic welfare is the situation in which the lowest income strata has a near zero probability of being vulnerable to famine and in terms of calorie it requires a near zero probability of falling below the poverty line (Rentlinger and Selousky, 1978). Therefore, food security concerns every sovereign country, especially the developing and poor nations, owing to its profound implications for their socio-politico-economic stability and which co-exists with international diplomacy. According to 1998 annual report of International Food Policy Research Institute (IFPRI), about 73 million people would be added to the world’s population every year between 19952020 increasing it by 32 percent to reach at 7.5 billion. Much of the population growth is expected to occur in the developing countries mainly in India where the population is expected to increase by 36 percent to touch at 1.27 billion by 2020 and is likely to overtake China by 2035. Therefore, meeting the food and nutrition needs of growing and urbanized population with rising incomes will have profound implications for agricultural production and food security of the country and Himachal Pradesh is no exception.