eChapters

Abstract

In the past decade, many knowledge-centric mobile phone initiatives in Indian agriculture have emerged, either substituting or supporting extension services by providing farmers with access to agricultural information. These knowledge-centric mobile phone platforms have the potential to reach many farmers directly with timely and accessible content. But the content that these deliver has more relevance if it is localized and context specific, as this improves the value and actionability of the information, which can have important impacts on farm management. The localization of content is influenced by how the projects access, assess, apply, and deliver content.

Abstract

The chapter examines the relationship between the agricultural value chain and mobile apps. Using email survey data from mobile app developers, supplemented with basic desk research, the chapter reviews and analyzes 55 mobile apps based on their location within the value chain, the format of content delivery, the types of device used, the stage of deployment as of  2012, the type of business model used, and the geographic focus of the app. The analysis generally reveals an even distribution of apps within the three main components of the agricultural value chain but when it comes to the sub-categories within the agricultural value chain, skewed distribution was observed. Feature phones remain the dominant device for delivering agricultural information to users, however, increasing number of smartphone-specific applications gaining market. Most of the devices use text format for content delivery with voice, image and video as supplements.

Abstract

Agriculture, which was once a livelihood for millions, is now turning into a not -so-profitable occupation. The interest has reduced especially among the youth because of its input intensive nature. Among all other  things, the most important input in profitable and sustainable agriculture is timely information. However, with the increasing value of the ratio of farmers to extension personnel, getting timely information is a challenge. Then again, rationally used, we are surrounded by communication devices and the most essential and affordable of all are mobile phones. They have made communication easier, faster, affordable and profitable. The boom in mobile based agro-advisory services in the developing countries around the world has found its own subscriber base among the bottom of the pyramid farmers in rural areas and has been developing their economic conditions. Their services range from crop information, market price alerts to holistic agricultural information which are available free of cost and under subscription.

Abstract

Agriculture continues to be the most important sector of the Indian economy and agriculture is a  more or less a compulsion for livelihood of millions of farmers. Land and water resources have almost reached their limits, price of commodities are fluctuating almost every day, profits are negligible for most of the marginal and small farmers and most of all getting information is cumbersome. In present day agriculture, soft resources like knowledge and skills are as important as hard resources like inputs, and sometimes more important. But estimates indicate that 60 per cent of farmers do not access any source of information for advanced agricultural technologies resulting in huge adoption gap. The requirement of field level extension personnel is estimated to be about 1.3 -1.5 million against the present availability of about 0.1 million personnel. The mobile phone comes into the picture here.

No society can ever desire to achieve a long-term goal of sustainable development unless it builds upon its own knowledge, traditions, ethical foundations and technological endowments. The knowledge of the people particularly in drought and flood prone regions, hill areas, tribal areas and other high risk environments, has to become a building block of new technological improvements. Knowledge happens when our expectations are belied, modified and sometimes confirmed. Because the asymmetry in our expectations is influenced by our access to resources, institutions, technology and cultural platforms, we get different kinds of knowledge, even when we confront similar situations Gupta (2005). In any community living close to nature, asymmetry in knowledge generation and its utilization is inevitable. The experts exist not just in our profession, but in every profession.

Introduction
 
Intellectual property is a cluster of legally recognized rights associated with innovation and creativity, the works of the mind, as against physical products, land and other tangible resources. Even though it is intangible, intellectual property (IP) is often recognized as personal property, to be sold and traded like other forms of property. Under intellectual property law, owners are granted certain exclusive rights to various markets, machines, musical, literary, and artistic works; discoveries and inventions; and applications. But national laws normally don’t define ‘intellectual property’ as a single property right. Instead, ‘intellectual property’ is used as a convenient general term describing a range of distinct legal rights, relating to literary, artistic and scientific works; performances of performing artists; phonograms, and broadcasts; inventions in all fields of human endeavour; scientific discoveries; industrial designs; trademarks, service marks, and commercial names and designations; protection against unfair competition and all other rights resulting from intellectual activity in the industrial, scientific, literary or artistic fields.

Introduction

Indigenous peoples established distinct systems of knowledge, innovation and customary practices from their centuries old interactions with the local biodiversity and environment, relating to the uses and management of local natural resources. Today, this knowledge is looked as an important resource for research and development in different areas such as pharmaceuticals, agriculture, veterinary, jewelry, fashion and cosmetic products. This has led to rampant exploitation of such knowledge disregarding the customary practices and rules of indigenous peoples holding and preserving such knowledge as well as the biodiversity and natural resources. As a consequence, the traditional knowledge is under threat of being misappropriated or lost.

What is Indigenous Knowledge?

Indigenous knowledge (IK) is the local knowledge which is considered as the social capital of the poor. It is their main asset to invest in the struggle for survival, to produce food, to provide for shelter and to achieve control of their own lives. Indigenous knowledge is a cumulative body of knowledge, practices and manifestations maintained and developed by people with long histories of interaction with their natural environment. It forms the basis for local-level decision-making in agriculture, health, natural resource management and other activities, especially for the poor, and provides problem-solving strategies for communities (World Bank, 1998). IK is a tacit knowledge that is not easily codifiable and unique to a particular culture and society.

1. Introduction

Antheraea assamensis is lepidopteron insects of Assam which is commercially utilized for the heritage golden silk “muga”. Rearing of muga silkworm is one of the most significant traditional handloom industries restricted only to the North Eastern Region of India (N.E. India) and plays a major role in the rural economy.  Considering the ecological conditions, food plant distribution, presence of eco-types and species of diverse nature in co-existence, it is speculated that this region is a possible home of origin of Antharaea, from where radiations would have occurred (Neog et. al., 2010). Despite the fact that N.E. India is the original home of muga, earlier studies have shown that the population is declining due to depletion in genetic variability (www.cdfd.org.in/wildsilkbase/info_moths.php).

Introduction

Northeastern Region of India consists of eight States, viz., Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland, Tripura and Sikkim.  The northeastern states are located between geographical ordinates, 21° to 29°30' N and 89°46' to 97°30' E. The region, surrounded almost on all sides by Bhutan, China, Myanmar and Bangladesh, which can be broadly divided into two characteristic zones viz., Mountainous and Plain. Although distinguished in the altitude differences, both the mountain and plain are closely interrelated in terms of natural resource sharing and economic flow. According to the physiographic characters this region is divided into five physiographic units, the Assam Himalayas, the Brahmaputra valley, the Shillong plateau, the Barak valley and the Southeastern hill region. Except the Brahmaputra and Barak valleys in Assam and the Imphal valley in Manipur, the terrain is hilly and mountainous, only making 65% of the northeast an undulating land with elevations ranging from 200 to 900 m above MSL

Introduction

“Quality” of fish refers to the aesthetic appearance and freshness or degree of spoilage which the fish has undergone or involves safety aspects such as being free from harmful bacteria, parasites or chemicals. “Quality’’ is a term which must be defined in association with an individual product type. For example, it is often thought that the best quality fish is the one which is consumed within the first few hours of post mortem. However, very fresh fish which are in rigor mortis will be of hard texture and difficult to fillet and skin are often unsuitable for smoking or drying. Thus, for the processor, a slightly older fish which have passed through the rigor process are more desirable.

Evolution of Computer technology and advent of database concept have provided enormous opportunities to the  scientist, researchers and managers of diverse field  to create, manipulate integrate, link and analyse their data in order to generate information and knowledge. The research projects involving exploration, survey and collection of data, generally create database to maintain and analyze the data.  Almost in every sphere of life and industry this database concept/technology is used in one form or other.  Scientists and researchers of life sciences realized the importance of the database and used this technology to develop databases of different types/groups of living organisms. The database technology has eased the difficulty in designing, developing and maintaining the complex information systems.

Introduction

ICT may be defined as technologies that facilitate communication and the processing and transmission of information by electronic means. ICT is an acronym that stands for Information Communications Technology and refers to technologies that facilitate communication and the processing of information by electronic means and includes everything from radio and television to telephones (fixed and mobile), computers and the internet. Information and communication has become an increasingly powerful tool for improving the delivery of basic services and enhancing local development opportunities. Recent years have seen increases in the use of ICT in almost all spheres of rural life. Especially, the rural communities require information among others on supply of inputs, innovations, improved technologies, credit, market prices and competitors. Since the concepts, methods and applications involved in ICT are constantly evolving on an almost daily basis. It’s difficult to keep up with the changes - they happen so fast.

1. Introduction

An expert system is defined as “a computer program designed to model the problem solving ability of a human expert” (Durkin, 1994). It is also defined as “a system that uses human knowledge captured in a computer to solve problems that ordinarily require human expertise”. An intelligent computer program that uses knowledge and inference procedures to solve problems that was difficult enough to acquire significant human expertise for their solutions. It is a computer application that solves complicated problems that would require extensive human expertise. To do so, it simulates the human reasoning process by applying specific knowledge and interfaces. Expert system also uses human knowledge to solve problems that normally

Abstract

Crop cultivation is a complex process and involves a set of activities like land preparation, planting, pest control, irrigation, nutrient management, harvesting, marketing, etc. Entire cycle of crop production requires multitude of information by the farmers. Despite many efforts over the years to disseminate and transfer agriculture knowledge to the stakeholders, large amounts of expertise and knowledge are still out of reach to most of them. Agriculture knowledge may be contained in the corporate database, or it may reside undocumented inside the brain of the researchers or even stored in locations unknown to the majority of the people in the organization. Large sections of the farming community, particularly the rural folk, do not have access to the huge knowledge base acquired by agricultural universities, extension-centers and businesses. In this respect the main challenge is to find this knowledge and apply it to the decision making process involved in agriculture development.

Establishment of databases and data warehouse; knowledge discovery from database/data warehouse (KDD) and development of the mechanism of dissemination of knowledge on information networks as per requirements of user groups is gaining importance now a days. Since there is a large number of data collection agencies and equally diverse resources for which the information is collected, it is easy to visualize the heterogeneity of information. The problem is compounded by the fact that there are no common standards that are applied in data collection. Designing data warehouses to integrate the collected information poses a formidable challenge to any data warehouses architect. In order to use the information for planning and decision-making level, data have to be integrated and aggregated properly.

The term bioinformatics was coined by Paulien Hogeweg in 1979 for the study of informatics processes in biotic systems. It was primarily used in genetic and genomic studies, particularly in those areas of genomics involving large-scale DNA sequencing. Bioinformatics involves application of information technology to store, organise and analyse the vast amount of biological data available in the form of sequences and structures of proteins (the building blocks of organisms) and nucleic acids (the information carrier). There are umpteen ways to define bioinformatics, mainly owing to its rapid evolutions.

Abstract

The field of bioinformatics emerged as a tool to facilitate biological discoveries more than 10 years ago. Structure prediction is fundamentally different from the inverse problem of protein design. Protein structure prediction is one of the most important goals pursued by bioinformatics and theoretical chemistry; it is highly important in medicine and biotechnology. Structure prediction is fundamentally different from the inverse problem of protein design. While the genome of many organism have been sequenced over the last few year, transforming such raw sequence data into knowledge remains a hard task. A great number of prediction program for genes have been developed hat try to address this problem, which consists of locating the genes along a genome.

Abstract

Protein-protein interactions play a major role in most cellular processes. Many essential cellular processes such as signal transduction, transport, cellular motion and most regulatory mechanisms are mediated by protein-protein interactions. The study of protein-protein interactions is of great importance in determining the biological function and impact of proteins. The experimental techniques remain expensive, time-consuming and labor-intense. Computational methods play an important role at all the stages of determining protein-protein interactions. In this chapter, we describe the different types of protein-protein interactions, computational methods, currently available databases and tools, protein-protein docking and as well as protein-protein interactions as drug targets.

1. Introduction

Protein–protein interactions serve as the hub of the functioning of a living cell, coordinate biological processes as well as form core for interactomics system of living organisms. Various biological processes as signal transduction, cell-cell communication, ingestion or expulsion of any macromolecule, host parasite interaction, diseases as cancer and many other metabolic networks employ protein–protein interactions. During such a process two or more proteins interact transiently with each other or form complex for a long period of time. Thus attempts have been made for years to study comprehensive mechanism of such protein–protein interactions by various branches of sciences such as biochemistry, quantum chemistry, molecular dynamics, chemical biology and signal transduction. The availability of three-dimensional (3D) structure of proteins is a prerequisite for understanding functions of protein complexes at a molecular level as well as amino acid interactions within a complex.

Key words : CAVD, Drug Design, Bioinformatics, CADD, Co-factor, Vaccinology, infectious diseases, Jenner, immunity, Molecular modeling, Immunoinformatics, Antigen, Antibody, Live Vaccine, Alive Vaccine, Protein-peptide, Enzyme, Tools for Vaccine design,
 
Vaccine – Prevention is Better than Cure

A vaccine is a biological preparation that improves immunity to a particular disease. A vaccine typically contains an agent that resembles a disease-causing microorganism, and is often made from weakened or killed forms of the microbe, its toxins or one of its surface proteins. The agent stimulates the body’s immune system to recognize the agent

Introduction

Data Mining is a complex subject that describes a type of database application used to search large amounts of data for patterns using specific tools. Advanced statistical methods and tools such as classification, association rule mining and cluster analysis search large volumes of data for previously unknown relationships within the data. Data Mining can be used to decipher trends in a wide variety of fields such as computer science, the marketing and advertising of goods, services or products, artificial intelligence research, biological sciences and high-level government intelligence. Data mining is a logical process that is used to search through large amounts of information in order to find important data.

Databases

A database is a collection of information that is organized so that it can easily be accessed, managed, and updated. Databases can be classified according to types of content: bibliographic, full-text, numeric and images and by their application area, for example: accounting, music compositions, movies, banking, manufacturing, or insurance. The term database may be narrowed to specify particular aspects of organized collection of data and may refer to the logical database, to the physical database as data content in computer data storage or to many other database sub-definitions.

Abstract

Last few decades have witnessed an immense technological advancement in the education sector in India. With an advancement of technology, new gadgets are flooding the Indian market continuously bringing an immense opportunity for the education sector to improve upon the course delivery system. Higher education sector in India is adopting such new technologies in course delivery at a slow pace; however, there remains still a far way to traverse for the Indian education sector in order to achieve a perceptible and effective technology-infusion in the academic delivery arena. This paper is devoted to present an expository review on the usefulness of new gadgets, like smart phones, e-book reader as well as tablet PC, in both class-room education-delivery segments as well as in distance education sector in India.

Abstract

Fusion is a well known entity in various fields (e.g. medical imaging, weapon detection, flood monitoring etc.) that surmises information originating from several modalities. This chapter is an attempt to assort the various image fusion techniques available for human face recognition and to put a review of the advancements being made by the different researchers. The various types of fusion those have been used or may be used for face recognition have also been discussed here.

1. Introduction

With the fairly recent advent of inexpensive, rapid sequencing technologies that continue to improve sequencing efficiency and accuracy, many species of animals, plants, and microbes have annotated genomic information publicly available. It is important to use this genomic information for the identification and isolation of novel and superior alleles of important genes from gene pools of the organisms

Abstract

The study of computational toxicity prediction is very crucial and necessary, as it is quite time consuming and expensive to measure the toxicity via experimental techniques (Quan Liao et al., 2006). The use of computational approaches particularly to reduce the time and cost for the evaluation of the kinetic and toxic behaviour of any drug has been increased tremendously in recent time period (Richard Judson et al., 2004). Machine learning is a powerful tool to discover new complex combinatorial relationships in various in vitro and in vivo data information (Richard Judson et al., 2004) and has been successfully used in many diverse fields with numerous applications such as pharmacodynamics properties prediction (Czerminski et al., 2001; Livingstone et al., 2003), protein function prediction (Cai et al., 2003), medical decision making (Veropoulos, 2001), spam categorization (Drucker et al., 1999), detection of oil spills (Kubat et al., 1998), and speech recognition (Nuttakorn et al., 2001).

Introduction

The capabilities and effort to collect the geographic data has increased dramatically in the last decade to cope up with the increasing demand for the support of decision making and planning process in the state, national and global level.  From the Government sector, there is a need for spatial data to make quick responses to natural disasters, industrial accidents and environmental crises as actions will be decided based on geography. There is constant pressure to make wise decisions in a more time and cost effective and efficient manner. Accurate and current geospatial data are critical to these decisions.

1. Machine Learning

Learning denotes changes in a system that enable a system to do the same task more efficiently the next time (Simon, 1983)or Learning is constructing or modifying representations of what is being experienced (Ryszard Michalski et al., 1986). Machine learning is a scientific discipline concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as sensor data or databases. A learner can take advantage of examples (data) to capture characteristics of interest of their unknown underlying probability distribution. Data can be seen as examples that illustrate relations between observed variables. Discover new things or structure that is unknown to humanseg. data mining.A major focus of machine learning research is to automatically learn to recognize complex patterns and make intelligent decisions based on data.

Abstract
    
The amount of data being collected across a wide variety of fields today far exceeds our ability to reduce and analyze without the use of automated analysis techniques. In addition, the whole data may not be of user interest and imperfect. Therefore, it is very challenging to organize this data in formal system, which provides outputs in more relevant, useful, and structured manner. There are many techniques available to retrieve knowledge from this voluminous data. This paper discusses different rough computing based information retrieval techniques to obtain meaningful knowledge from large amount of datasets. We also discuss a real life example to show the viability of proposed research.

Abstract

Currently, computers are changing from single, isolated devices into entry points to a worldwide network of information exchange and business transactions called the World Wide Web (WWW).Current web contains billions of documents and has many administrative problems and limitations; in addition to that the web content is still accessible only to humans. For this reason, support in data, information, and knowledge exchange has become a key issue in current computer technology. The success of the WWW has made it increasingly difficult to find, access, present, and maintain the information required by a wide variety of users. In response to this problem, many new research initiatives and commercial enterprises have been set up to enrich available information with machine processable semantics.

Introduction

The role of knowledge management as the key source for competitive advantage in our organizations has become a hotly debated topic. Indeed, it is a core competency for creating competitive advantage. In this environment that knowledge management is vital, therefore, at first we should determine knowledge management situation, and then to achieve a desired point, formulate a knowledge management strategy.

Abstract

Cloud computing is becoming a technology mature enough for its use in genome research experiments. The use of large datasets, its highly demanding algorithms and the need for sudden computational resources, make large-scale sequencing experiments an attractive test-case for cloud computing. So far I have seen cloud computing demonstrated using R. However, it remains to be seen a rigorous comparison of its performance using a BLAST search and its ability to cope with ever-increasing databases and open source frameworks such as bioperl or bioconductor.

“Knowledge Management is the process by which an organization identifies, creates, manages and delivers information to enhance workforce performance. The purpose of knowledge management is to provide information collected from employees, best practices, clients, competitors and other sources in a format that employees can use to the productivity and quality of their work”

Before attempting to address the question of knowledge management, it’s probably appropriate to develop some perspective regarding this stuff called knowledge. Consider this observation made by Neil Fleming [1996] as a basis for thought relating to the following points.

Now days, in every walk of our life, we deal with a lot of information. It can be for personal use or family matters or for official or business matters. We store, process and retrieve variety of information. Information is basically the collection of various facts, records, statistics, formula or methods, which we use for our official work, for our research or for other use. When all these (information, we keep/ accumulate, for possible future use) are put in an organized manner, we find it convenient to use and easy to remember/ apply. Today, as it is rightly said, information is power; information is our knowledge-strength. It is thus important to organize and manage this knowledge that mostly depends on (and derived from) an information pool.

Introduction

Individual bits or “bytes” of “raw” biological data (e.g. the number of individual plants of a given species at a given location) do not by themselves inform the human mind. However, drawing various data together within an appropriate context yields information that may be useful (e.g. the distribution and abundance of the plant species at various points in space and time). In turn, this information helps foster the quality of knowing (e.g. whether the plant species is increasing or decreasing in distribution and abundance over space and time). Knowledge and experience blend to become wisdom—the power of applying these attributes critically or practically to make decisions. This quotation is from the Atlantic Canada Conservation Data Centre, a non-profit organization established in 1999.Thus, we are led to think about Data, Information, Knowledge, and Wisdom as we explore the capabilities and limitations of IT systems.

ABSTRACT

Hydroponics is a plant growth system that provides a more precise control of growth media composition. It offers people the ability to grow food in places where traditional agriculture simply isn’t possible. As Fiji has a warm tropical climate, the development of the tropical fruit and vegetable industry through hydroponics farming to meet local consumption and export market is a lucrative opportunity. The potential for hydroponics farming is enormous and is in demand to sustain production at reliable and consistent level in Fiji. Potential areas for the setting up of hydroponic farms in Fiji include Savusavu, Nadi, Navua, Sigatoka Valley and Labasa. These areas have established theirlogistical status with the market. A wide range of commodities are grown through hydroponics technology which complements the need to harness the “too hot” and “too wet” weather of tropical Fiji. The pristine environment and availability of resources such as water and other hydroponic farming input are added bonus to establishment of such venture. Hydro nut Hydroponic farming system are constructed as simplest form made of bamboo and coconuts using coconut husk as a growing media and worm casting and humus tea are used as fertilizer. It offers some significant benefits over traditional farming, and as word about these benefits spreads, more people will turn to hydroponics for their agricultural needs. As hydroponics allows produce to be grown locally and requires fewer areas to import their crops, there is a reduction in both price and greenhouse gas emissions due to reduced transportation requirements. This saves time and produces healthier, disease and pest free, lusher plants in about half the time as traditional agriculture farming system.

ABSTRACT

Bangladesh is a land of rivers, wet lands and tributaries across her deltaic plains in which aquaculture is a potential arena to meet dietary needs of protein. The main objective of this study was to bring out the dominating factors on adoption of modern aquaculture technologies by the fish farmers. The study was conducted in Kahaloo and Sherpurupazilas of Bogra district. Respondent fish farmers were selected using proportionate random sampling technique. Quantitative data were collected using predesigned interview schedule during August to September 2011. Socio-demographic characteristics of the respondents viz. ‘use of information sources’ ‘innovativeness’, ‘social participation’, ‘commercialization’ and hindrances of adoption i.e. ‘lack of technical knowledge’, ‘unavailability of credits in time’, ‘lack of quality fish fry’, ‘comparatively low market price’, ‘fish fry price is high’, ‘unavailability of quality fish feed’, ‘adulteration of fertilizers’ were the major dominating factors on adoption of modern aquaculture technologies. ‘formulated feed is costly’, ‘high production cost’

³Ex-Head & Principal Scientist, Dairy Extension Divison, Karnal, Haryana

INTRODUCTION

Backyard poultry production is an age old practice in rural India. Rural poultry farming in India contributes to about 40% of the national egg production. In ancient time poultry birds were reared for different purposes such as for its fighting ability. In old civilization, the cocks are known for their morning alarm and the selection is also done for these traits. Their fighting ability is more responsible for their spread than there nutritive value of the chickens. Backyard poultry farming is now gaining considerable momentum in the country and enables rural community to participate, in the economic, political and social sustainable development of the rural communities.

Backyard poultry farming is being recognized as important component of socio- economic improvement among the weaker section of society; specially rural youth, landless labour, small and marginal farmers. Backyard poultry generates self-employment, provides supplementary income with protein rich food at relatively low cost. Backyard poultry farming is the one among different enterprises in the present situation which gives some assured income to rural youths of the country. Before 1950, poultry keeping in India was largely a backyard venture. During last 3-4 decades Indian poultry industry has shown excellent growth. Poultry farming is a profitable venture as a means of livelihood and income prosperity for rural youth and farmers. The small and marginal farmers may choose backyard poultry farming alternative method for generating good income with their limited land and water use. Keeping in view of demand of poultry eggs and meat in the country and its potential for income and employment generation among rural youth, there is a need to increase the poultry production in the country.

INTRODUCTION

Livestock is an integral part of agriculture in our country. In the decade, India’s population has grown drastically by 13% to 1.2 billion people. Meeting the nutritional needs of this swiftly growing is a gargantuan challenge. Researchers and young farmers have an important role to play in the India Government strategy to relieve pressure on food resources. The dairy industry is a large and important sector in India. We are the highest milk producers in world and milk is an integral source of nutrition and household income. But per animal production is very low as compared to developed countries. The challenge is to improve production and reproduction of dairy animals. Indian farmers feed their animals with imbalanced ration. Supplementation of mineral and vitamins in feed not only improves health status but also in turn increase the income of dairy farmers. The economic contribution of dairy sector seems to be quite substantial in the agricultural economy as well as in the national economy. Keeping in view the growing importance of dairy sector in the changing national and global economic scenario, the dairy farming vocational training programs are organized in the Extension Center of LUVAS at Jind. To undertake this work, 856 young dairy farmers of the area who have successfully completed dairy farming vocational training programmes during the year 2010 to 2013 were selected for the collection of data.

ABSTRACT

Indian agriculture is an economic symbiosis of crop and cattle population. Millions of family dairy farming dominates India’s dairy industry, contributing 62 percent of total milk produced in the country. So, encouraging family dairy farming in rural areas is necessary to increase the milk production at national level and increase the socioeconomic status of landless and marginal farmer. In rural areas there is a major problem of milk marketing. In urban scarcity of quality milk, other side in villages especially faraway from city there is surplus milk and farmers are not interested to rear more dairy animals. Marketing of surplus milk is main problem because milk is a highly perishable item and farmers not having time and also due to less quantity of surplus milk (3-5 liter) they are not interested to go market. For this we can work in group and collect milk at one place from all members and one person go to market for selling of milk. Extra milk can be used to manufacture other milk products like ghee, peda, paneeretc by other member. Some members also engaged in other work like treatment of animals, collect information of different schemes from related offices. While engaging with rural communities, we recognised that village women are the primary caretakers of cattle and play a significant role in dairy farming. As a result, the Village Woman Dairy DevelopmentProgramme - an initiative focusing on empowering village women engaged in dairy farming. Benefits in dairy farming depend on cost of feeding, medicines, labour and income from sale of milk. Milk price is fixed and not in farmers control so we increase the income through reducing the cost of milk production. Approx 70% cost of milk production on feeding of animals. To reduce cost of feeding and medicine we fed balanced ration to dairy animals. Also reducing cost of production by feeding locally available unconventional feeds through total mixed ration feeding and urea mineral molasses block supplementation.

ABSTRACT

The present study was carried out to assess the knowledge level of dairy Entrepreneurs of Patna District and to find the co-relation between the socioeconomic variables and the training needs. This study was conducted by personally interviewing 100 dairy farmers, sent for training at B.V.C. Patna by different Agencies. Majority of the respondents (58.20%) had medium level of knowledge flowed by 26% respondents with high level of knowledge, while some of the respondents (15.80%) had low level of knowledge about dairy entrepreneurship. The study of co-relation between socio-economic variables and training need of the respondents showed that variables like education (0.469), social participation (0.500) and the knowledge (0.734) were significantly and positively co-related with the training need. Whereas variables like age (0.063) family size (0.193) and land holding (0.072) were found to be positively but non-significantly co-related with the training needs while, the caste (-0.093) was found to be negatively and non-significantly co-related with the training needs at 0.05% level of probability. Therefore it is imperative on the part of change agency to utilize the variables gainfully so as to give needed push to knowledge level in the area of Dairy entrepreneurship development.

ABSTRACT

Dairy farming plays a significant role in rural economy. It provides more avenues for increasing rural incomes and sustaining livelihood. Milk and other dairy products are a major source of protein and calcium for vast vegetarian population of India and demand is likely to double within a decade. Many of the educated youth in rural areas are going back to dairy farming as a natural choice with passion, getting involved deeply, continuously learning and innovating in the process. However these young and intuitive farmers face many challenges especially with regard to technical input and availability of green fodder round the year. In order to address these problems, this study was conducted in Muktsar district of Punjab. The young farmers selected belong to age group ranging from 24-35 years. Seventy percent of the respondents were graduates, among them 25 percent being technocrats. About 65 percent had medium family size (5 members). Eighty five percent of respondents had small land holding ranging from 5-8 acres. For majority of the respondents’ dairy was the primary occupation. Sixty percent of the respondents had obtained 45 day artificial insemination (AI) training from Dairy Development Board, Punjab and themselves did AI on their farm. Many (75 percent) had herd size of 35-40 animals. Majority of the farmers had hired labour for milking and daily care of animals with family members involved in management of the farm. Most of them (65 percent) believed in preparing their own silage and breed improvement. The study revealed that many educated youth in dairy farming were of progressive and scientific temper with entrepreneurship potential but were facing many impediments like low milk yield (4.5 – 6.5 kg/ animal/day), poor breed up gradation, green fodder shortage, a large number of services per conception (3 in majority cases) with artificial insemination (AI), low competence of veterinary service providers in remote rural areas in addition to high veterinary costs, difficulty in marketing milk from crossbred dairy cows due to low preference. It was felt that if sincere and sustained efforts were made by all the stakeholders involved, dairy farming had the potential for all round socio-economic development of rural areas.

ABSTRACT

Documenting the traditional knowledge system for technology development considers as the first step towards a sustainable agriculture. A study was undertaken in some villages of operational area of KVK, Nalanda district to investigate and document the traditional knowledge system of dairy farmers in the area of Breeding, Feeding, Health care and Management. The findings revealed the materials and practices related to animal husbandry from the study area. The majors among them were like use of Eucalyptus leaves in controlling Haemorrhagic septicemia (Gala ghotu), allowing animal to remain stand in mud for few hours, spread out tobacco leaf power on the infected part of FMD disease, applying brine solution on the animal’s buttock for the treatment of mastitis, feeding banana stem juice in order to controlling diarrohea in dairy animals. Papaya fruits fed to the cattle increases fertility in them, spraying of chhoa for controlling termites, incorporation of tobacco leaf, betel leaf and curry leaf enhances the shelf life of ghee at least by 2 months, use of Eucalyptus leaves in controlling Pneumonia in cattle.

ABSTRACT

Human resources are one of the most strategic and critical determinants of growth. A country cannot make rapid social and economic advancement unless it has enterprising people with necessary knowledge, skill and attitudes. Entrepreneurship development not only helps individual to become self reliant but also adds to wealth creation process, thereby paving the way to past growth and development of the nation. Rural entrepreneurship is required to capitalize on the opportunities available and to create job, mainly for rural youth and the farm family. In order to achieve this we are promoting mushroom production and processing as an enterprise for rural youths and farm family through their capacity building activities like training, consultancy, forward and backward linkages and to some extent by making available the much required inputs in the initial stages as the scenario of mushroom production in state is far from satisfactory. With the vast opportunities both at the international and national levels lying at the door steps of India, nothing less than a mushroom revolution in the coming decade will help to achieve the targets of nutritional security of people. During last year we have trained 215 farmwomen and youth in mushroom production and processing out of which 110 trainees started producing it at small scale and selling in the local market. Three villages of Patna district have been developed as “mushroom village” namely Sadikpur, Chaknawada and Mahmadpur. A sample of 100 mushroom growers of Patna district was taken for present investigation. All of them agreed that growing mushroom is a beneficial enterprise as it is capable of recycling agricultural wastes and generating employment opportunities. But, they revealed that important constraints in recommended practices of mushroom cultivation are spawn availability, perishable nature and marketing of mushroom in local villages because of poor infrastructural facility and lack of institutional finance available to them. So, in order to encourage mushroom Production at household level in villages, it is required to uplift farmers, initiating new applications, providing them with adequate marketing information and sufficient agri-business finance knowledge. Two of the most important problems in India, unemployment and malnutrition, will be addressed to a larger extent by promoting the cause of mushroom growing and its utilization as health food.

ABSTRACT

Agriculture is an important component of Indian economy contributing over 14% to the National GDP and employment to about 52% of the workforce. The small farm families form the backbone of Indian agriculture. The sustainability of small farms needs to be continuously supported with appropriate technologies and also with promoting off farm employment opportunities in the rural sector. The role of KVKs’ in preparing the next generation farmers’ through imparting training to update their knowledge and skills in modern agricultural technologies related to technology assessment; refinement, demonstration and training of extension personnel to orient them in the frontier areas of technology development. Sh. Narender Singh s/o Sh. Jagdish Rai, Graduate, 42 years old youth from Dharania Village came in contact with KVK, Fatehabad in 2008 and got training from this centre. He was motivated to diversify his traditional system of agriculture with integrated farming system of Dairy Farming, Vegetable, Seed production, inter cropping of Guar in cotton. He also used neem cake and bio control agents in poly houses for management of root knot nematode. He is recycling cow dung from the dairy farm and producing bio gas for domestic consumption with the diversification of farming system. The total expenditure was Rs. 5,55,645 and gross return was Rs. 13,63,100. The farmer benefit cost ratio is 2:45.

ABSTRACT

India is the second largest producer of vegetables in the world after China with an annual production of 162.19 million tonnes from an area of 9.2 m ha. The requirement of vegetables in the country has increased a lot to meet the nutritional requirement of an estimated 1200 million population expected by 2020-21. Although the productivity levels of vegetables have increased manifold, it would not be sufficient to feed the ever increasing population. Production per unit area of land, time and inputs can be increased by improving efficiency of the rate and extent to which solar energy is harvested for conversion to economic produce. In multiple cropping systems, the possibility of more efficient use of resources like sunlight, nutrient and water per unit area is higher leading to higher production stability. It can be very much successful in high imput requiring crops like vegetables. Intensive cropping involving multi-tiered vegetable crops like pointed gourd + elephant foot yam + cowpea grown on the single piece of land at the same time can generate profits up to Rs 1,30,000 per acre. India ranks first in the youth population. If the energy of these dynamic youth is properly utilized in the field of better agricultural practices, especially vegetable cultivation, it will help improve the national productivity of vegetable crops and generate employment as a whole. Thus, intercropping involving multi-storied/ multi-tier cropping system can serve as well-established practice for sustained supply of vegetables throughout the year through which rural youth can generate high income for sustainable livelihoods and increased per capita income.

ABSTRACT

India is one of the leading coconuts producing country in the world. Yet, it does not figure in the list of leading exporting countries of desiccated coconut. The study makes an attempt to examine the Economics of production and marketing of desiccated coconut. The study was conducted in Tiptur taluk of Tumkur district. The primary data was collected from the 10 desiccated coconut entrepreneurs from Tipturtaluk of Tumkur district of Karnataka. The study reveals that desiccated coconut units were utilizing 78.9 per cent of their installed capacity. The net return per tonne of coconut processed by desiccated coconut units was lakh Rs. 32.1, lakh Rs.81.1, and lakh Rs. 114.5 in case of small, medium, and large sized units respectively. On an average Rs. 144.01 lakhs was needed for the establishment of desiccated coconut unit. Out of which the investment on land (53.64%) was a major cost followed by machinery (26.15%), building (15.11%), and power installation (5.11%). The break even analysis showed that all categories of units had processed more than breakeven level. The investment made on desiccated coconut units was realized back within 2 to 3 years. The major constraints faced by desiccated coconut units were lack of skilled labor, limited market for desiccated coconut, higher requirement of working capital, and use of obsolete machines. Motivating the entrepreneurs to improve the quality standards, and modernization of desiccated coconut units need to be considered to improve the performance of desiccated coconut sector.

ABSTRACT

Sweet Corn (Zea mays var. saccharata var. rugosa) also called Indian corn, sugar corn, and pole corn is a kind of maize having high sugar content (12 – 15%). It is a very delicious and rich source of energy, vitamin A and vitamin C. It is consumed as raw, boiled or steamed green cobs/ grain. Cooked/ processed sweet corn has significant antioxidant activity which has been suggested to minimize the chance of heart disease and cancer. In addition to this, it is also utilized in preparation of soup, salad and other famous recipes. Besides green cobs, the green fodder is also available to the farmers for their cattle. It requires deep fertile and good drainage loam or sandy loam soil with neutral pH. It germinates best at the temperature range from 20^°C - 25^°C. Green cobs are harvested after 20 days of pollination during kharif but the days may accorded by season to season. It is ready to harvest in 70-75 days during kharif season and 105 – 110 days during rabi season. After harvesting, green cobs should be immediately transported to the cold storage in refrigerated trucks to avoid the conversion of sugar to starch because loses flavor at high temperature. Being a short duration crop (70-80 days), farmer can earn 2.0 to 2.5 lac rupees per hectare because it require less input i.e. water, manpower and other crop management practices. Therefore, it can generate a good employment for rural youthdue to high demand in hotels for preparation of various dishes.

The Indian food industry is poised for huge growth, increasing its contribution in world food trade every year. In India, food processing is gaining importance as now it is being considered as profit industry. The increased demand for processed food in the domestic market and Indian foods getting popularized in the global market has put food processing industry on high priority list by the entrepreneurs. Accounting for about 32 percent of the country’s total food market, the food processing industry is one of the largest industries in India and is ranked fifth in terms of production, consumption and export. The total food production in India is likely to double in the next ten years with the country’s domestic food market estimated to reach US$ 258 billion by 2015. The food industry in India has been attracting a lot of attention from foreign investors in the area of processing, development of infrastructure for storage and transportation and retail marketing and scenario is changing rapidly.