eChapters

Soil map is a map showing diversity of soil types and its properties such as pH, texture, organic matter and depth of horizons in the area of interest obtained as the end of soil survey. Generally, soil maps are used to simply identify soils and their properties, but are sometimes required for more specific purposes, such as the suitability of soils for a particular crop, suitability for irrigation, erosion risk and many other specific needs or environmental threats.

Soils fulfil many functions important for agriculture, forestry and the management of soil resources and natural hazards. The functionality of soils depends on their properties; hence, accurate and spatially highly resolved maps of basic soil properties such as texture, organic carbon content and pH for specific soil depth are needed for the sustainable management of soils. The surface soil organic carbon (SOC) concentration is a useful soil property to map soils, interpret soil properties, and guide fertilizer and agricultural chemical applications.

Traditionally farmers apply fertilizers, chemicals and other crop production inputs to optimize the production of the field as a whole. This results in application of over application of inputs and low inputs in certain locations of the field because of variation in field characteristics including soil organic carbon, soil texture, soil nutrients, field topography, and other properties. In addition, uniform applications may increase the chances of pollution of the environment due to excess application in some field area. Precision farming technology has been shown to optimize application rates if the variation of field characteristics can be used to guide the application rate of crop-production inputs. The organic carbon concentrations of surface soil have been used to spatially vary the application rate of some crop-production inputs. The surface soil organic carbon concentration affects the activity of many herbicides, influences plant-available nitrogen and also affects the soil’s ability to adsorb plant nutrients. Knowing its concentration may therefore be useful, especially if its spatial distribution could be determined accurately and for low cost.

ABSTRACT

The Mumbai region of Maharashtra has been witnessing very rapid urbanization development in terms of industrial, commercial and residential establishments. This has resulted in reclamation of tidal flats and estuarine regions. The ‘marine clay', characteristic of this environment has high swelling potential and consequently affects the performance of the structures. This will have a serious negative impact on the urbanization expansion. In this study, an attempt is made to map the spatial distribution of these expansive clays using the state of art Hyperion data. Reflectance spectra of representative samples collected from the field is used to map marine clays using Spectral Angle Mapper (SAM) technique. Laboratory analyses of these foundation soils (reflectance spectroscopy, mineralogy and Atterberg limits) indicate that they have significant amount of montmorrilonite and has good swelling potential (A_C>1.4). The derived expansive clay abundance map will be of use while planning appropriate remedial measure and future development.

Key Words : Swelling clay, Spectral characters, Geotechnical properties

The resources on the land have started showing sign of faster depletion owing to the population explosion, over exploitation of mineral and water resources and also the improper exploitation and the related wasting of the natural resources. Hence a time has come to search for more and more newer natural resources amongst which the ocean resources gain supreme importance as this treasure is yet to be hunted due to the non - availability of suitable technology for the same.

Such ocean resources mainly include the mineralogical and biological resources. The ocean biological resources, their birth, growth, population and migration greatly depend as chlorophyll content, total dissolved oxygen, total suspended solids, salinity etc. These parameters which constitute the marine environment drastically change in a quick span of time owing to the dynamically changing marine forces.

Abstract

GIS in marine fisheries has taken off much later than its application in land. But the strides made in this field since 1990’s has been quite significant, as many serious mapping studies and modeling initiatives have been recorded. With the third dimension added to the 2D spatial data, the marine GIS have all the ingredients of making it a fertile domain for research for decades to come. Most of the studies and products pertaining to GIS in fishery management had been revolving around mapping of habitats, geo-referencing of catch and effort data and modeling linking oceanographic and biogeochemical factors with living resources. Satellite remotely sensed information like ocean colour can act as a surrogate to fish biomass. Further remotely sensed SST, wind and other parameters can be effectively modeled to predict fish abundance, their habitat and related aspects. This manuscript pours into the various products and outputs based on GIS in marine fisheries around the world and the Indian initiatives.

Key words: GIS, marine resources, oceanography, primary productivity and climate change

1.0 Introduction

Geographic Information Systems (GIS) have been one of the most prolific scientific enhancements in recent past, which by virtue of out of box expansion of traditional database concept have opened up an entirely new vista of knowledge and opportunities. It’s probably one such unique application where information collation and analysis happen hand in hand resulting in palpable mining of data in perspective. A formal introduction to GIS would define it as a collection of computer hardware, software, data and personnel designed to collect, store, update, manipulate, analyze and display geographically referenced information. By virtue of its conceptualizations, there are no single GIS; systems can be assembled in an infinite number of ways. This is one such field, which probably always seeks the frontiers of innovations in the fields of ICT and modeling.

7.1. Marketing institutions

Business organizations which have come up to operate the marketing machinery.

Individuals, corporate, co-operative and government institutions are operating in agricultural marketing.

4.1. Definition

Kohls and Uhl refer to expansion of firms by consolidating additional marketing functions and activities under a single management.

Establishment of wholesaling facilities by food retailers and setting up of another plant by a milk processor.

2.1. Market structure

Refers to those organizational characteristics of a market which influence nature of competition and pricing, and affect the conduct of business firms.

Those characteristics of market which affect the traders behavior and their performances.

Formal organization of functional activity of a marketing institution.

A knowledge of structure is essential to identify imperfections in performance of a market.

1.1. Concept and definition

1.1.1. Marketing

Process of getting right goods or services or ideas to right people at right place, time, and price using right promotion techniques and utilizing appropriate people to provide customer service associated with those goods, services, or ideas.

3.1. Marketing efficiency

Degree of market performance.

Whether it fulfills objectives assigned or maximizes fulfillment of objectives with given level of resources (or costs)

Whether it is responsive to impulses generated through environmental changes and whether impulses are transmitted at all levels in the system.

For example

Farmers expect quick market clearance and higher prices for their produce

Consumers expect ready availability of products in form and quality desired at lower prices

Traders and other functionaries expect steady and increasing incomes

Government expects system to safeguard interest of all three sections to maximize welfare of society.

3.1. Marketing efficiency

Degree of market performance.

Whether it fulfills objectives assigned or maximizes fulfillment of objectives with given level of resources (or costs)

Whether it is responsive to impulses generated through environmental changes and whether impulses are transmitted at all levels in the system.

For example

Farmers expect quick market clearance and higher prices for their produce

Consumers expect ready availability of products in form and quality desired at lower prices

Traders and other functionaries expect steady and increasing incomes

Government expects system to safeguard interest of all three sections to maximize welfare of society.

5.1. Meaning and importance of risk

Hardy defined as uncertainty about cost, loss or damage.

Inherent in all marketing transactions.

Destruction of produce by fire, rodents or other elements, quality deterioration, price fall, change in tastes, habits or fashion, and risk of placing commodity in wrong hands or area.

Longer the time lag, greater will be the risk.

Cannot be dispensed with and be ar the risk in marketing process.

One who holds commodity in process is risk bearer, because of which he may be better off or worse off

Q. 1 The high moisture grain should be kept in
(A) Air tight structure     (B) Aerated structure
(C) Pucca kothi             (D) Gunny bags in closed room

Strategic partnerships and productive outreach play a crucial role for new technologies to successfully reach the market, drive growth, and strengthen a country’s global competitiveness, Outreach programs have various benefits, ranging from technology transfer awareness, communication of stakeholders, industry, government, to academy partnership promotions. These efforts help in establishing connections, communicating opportunities, and encouraging active engagement from key stakeholders. Outreach activities can be performed under two broad categories:
1. Written communication includes all communication which can be viewed, shared, or made accessible for a set of people in a passive manner. This includes reports, newsletters, guidance, and online content which provide insights of worth for stakeholders.
2. Human outreach includes all direct communication like c face-to-face or verbal form communication it included conferences, conventions, workshops, seminars and personal communication with industry leaders.
The type of outreach creates stronger, more personal connections. An effective outreach strategy usually combines both human and written outreach efforts. By following this strategy TTOs can expand and strengthen partnerships, and make it easier for research-led innovations to get transition from lab to market more effectively. This chapter explores key outreach models, strategic networking approaches, and proven practices for building impactful partnerships in technology transfer.

3.1 Introduction

Greenhouses are buildings with a controlled environment that facilitate plant culture and development. They offer protection from adverse external weather conditions, high temperatures, strong winds, and pests, while providing an ideal environment for plant growth. The construction of a greenhouse involves the use of various materials to ensure its structural stability, longevity, light transmission, and insulation. The different components of the greenhouse, such as the frame, flooring, and covering, are constructed using different materials such as wood, aluminum, steel, concrete, soil, gravel, and more.

Classification of Materials

Broadly there are two groups of materials used for making farm machines namely metallic and non-metallic:

7.1 The Formula Palette

By clicking on the equals sign in the formula bar a drop – down panel called the formula palette appeared.

Consider an example, type number 25 in cell A1 and move the cell pointer to cell B2. type or click the equal sign in the formulabar. Adrop – down panel will display formula result = and wait for further inputs. Enter sqrt result to 5 at B2.

The dialog box divides into parts as

(a) Name of the function at the top left of the argument entry box.

(b) Below of this there is the definition or description of the function.

(c) Next, there is an entry explanation.

(d) Formula result.

Things to remember: Any statistical or mathematical function can be activated with = (equal to) sign.

Introduction

Flat plate collector is the heart of a solar heat collection system designed for delivery of heated fluid in the low to medium temperature range (5o70oC above ambient temperature) for applications, such as water heating, space heating, drying and similar industrial applications. The flat plate collectors absorb both beam and diffuse radiation. The absorbed radiation is converted into heat which is transferred to water or air flowing through the collector tubes or duct, respectively. Such collectors do not require tracking of the sun and little maintenance is required.

The conventional flat plate solar air heater, shown in Fig. 7.1, consists of a flat blackened absorber plate, a transparent cover (such as a glass cover) at the top and insulation at the bottom and on the sides. The air to be heated flows through the rectangular duct below the absorber plate. The glass cover transmits a major part of solar radiation incident upon it to the absorber plate where it is converted into heat. The glass is, however, opaque to longwavelength radiation and thus it does not allow the infrared radiation from the heated absorber plate to escape.

Karwa et al. (2002) have presented the following deductions of heat collection rate and pumping power equations for the flat plate solar air heater.

7.1 Introduction

This chapter describes the development of data logger of agricultural field parameter monitoring system with MATLAB. The system comprises of Arduino, water level sensor, humidity sensor, light sensor, soil moisture sensor, temperature sensor, smoke detector, power supply, PC with MATLAB. The system is designed to monitor the environment and agriculture field parameters. The field device is designed to collect all physical parameters and same is communicated serially to MATLAB with I/O package. Fig.7.1 shows block diagram of the system. Table.7.1 shows the component list required to develop the system.

Eigen values of the matrix are

(A) 1 and 2             (B) 1 and 3

(C) 1 and 4            (D) 2 and 3

Increasing crop productivity while reducing resource consumption is a central objective of modern agriculture. This chapter examines how artificial intelligence can support crop yield improvement through data-driven analysis, prediction, and decision-making. AI models can integrate information from soil, weather, crop growth, remote sensing, IoT sensors, and historical yield records to identify important factors influencing productivity. Machine learning and deep learning approaches can support yield forecasting, crop selection, fertilizer and water optimization, and precision management. The chapter also considers AI-enabled genomic selection, market intelligence, and intelligent farm management. Challenges such as data availability, implementation cost, connectivity, farmer training, and model reliability are discussed alongside future opportunities including edge AI and explainable AI.