M. Kalpana - Böcker

Agro-informatics refers to the innovative application of computer science, scientific knowledge, and techniques to the field of agriculture. The book Agro-informatics provides information on the use of information technology in the management and analysis of agricultural data. The book covers a wide range of topics, including artificial intelligence, decision support systems, expert systems, and geographic information systems, as well as programming languages and backend tools for software development. The book is composed of fifteen chapters, each of which focuses on a different aspect of agro-informatics and provides a comprehensive understanding of the subject. It is hoped that the book will be a valuable resource for undergraduate students and researchers alike, offering a fundamental understanding of the concepts and principles of agro-informatics.

The application of innovative ideas, techniques, and scientific knowledge to agriculture is known as agro-informatics. This field expands the horizons of computer science. The book Agro-Informatics provides information on the use of information technology in the management and analysis of agricultural data. It covers a variety of topics, including artificial intelligence, artificial neural networks, decision support systems, expert systems, geographic information systems, agriculture-related information systems, and genetic algorithms. Additionally, the book discusses programming languages and backend tools for software development.The book consists of 15 chapters that explore various dimensions of agro-informatics. It is intended to provide students with a fundamental understanding of the concepts of agro-informatics. Furthermore, the book will serve as a guide for researchers in the field. It was prepared with the changing needs of undergraduate curricula in mind and will be a valuable resource for universities that offer courses on agro-informatics.

This comprehensive book, Agricultural Economics and Extension, provides an extensive overview of various concepts and theories in a sequential manner. This book is structured into five units, including Agricultural Economics, Agricultural Extension, and Computer Applications.Each chapter in this book concludes with multiple-choice questions. The Agricultural Economics unit covers topics such as principles of economics, law of diminishing marginal utility, Law of Equi-marginal utility, Indifference curve analysis, Law of demand, consumers surplus, production factors, supply, Factor-Product relationship, Factor-Factor relationship, Product-Product relationship, Law of Equi-marginal Returns, Cost concepts, Balance sheet, Types of farming systems, Farm budgeting and Depreciation, Agricultural Marketing, market classification, Marketed surplus, Price spread, market integration, and Agricultural Finance.The Agricultural Extension unit delves into the concepts and importance of Extension Education and Sociology, Rural development programs, and Extension teaching methods. It also covers Communication principles, Cyber Extension, Adoption and Diffusion of Innovation, and Capacity building for Extension personnel, farmers, women, and youth. The Computer Applications unit deals with Input Devices, Output Devices, Memory, Hardware, Software, Classification, Booting, computer Virus, Operating system, DOS commands, Types of files Windows, MS Word, MS Excel, MS PowerPoint, MS Access, Computer Programming, Algorithm, Programming language, BASIC, FORTRAN, C language, and Bioinformatics.This book is designed to benefit students preparing for various competitive examinations in agricultural and allied sciences.

The comprehensive text on Agricultural Statistics, Mathematics, and Computer Applications delves into theoretical concepts and provides extensive information on a variety of subjects in a structured manner. This book encompasses Agricultural Statistics, Mathematics and Computer Applications, and Agricultural Economics. It also includes multiple-choice questions in each unit. The first unit, Agricultural Statistics, covers various topics such as definition, frequency distribution, measures of central tendency (mean, median, mode, geometric mean, harmonic mean), measures of dispersion (range, quartile deviation, mean deviation, standard deviation, variance), probability (conditional probability, theorem of probability, Bayes theorem), discrete and continuous probability distributions (binomial distribution, Poisson distribution, normal distribution), sampling methods, theory of hypothesis testing, correlation, regression, analysis of variance, and design of experiments. The second unit, Mathematics, covers topics such as real and complex numbers, set theory, matrices, eigen values and eigen vectors, vectors, differential calculus, integral calculus, beta and gamma functions, double integral, ordinary differential equations, and interpolation. The third unit, Computer Applications, covers topics such as input and output devices, memory, hardware and software, classification, booting, computer viruses, operating systems (Windows, MS Word, MS Excel, MS PowerPoint, MS Access), computer programming, algorithms, programming languages (BASIC, FORTRAN, C language), and bioinformatics. The final unit, Agricultural Economics, covers topics such as principles of economics, law of demand and supply, factors of production and product, factor-factor and product-product relationships, law of equi-marginal returns, cost concepts, balance sheet, types and systems of farming, farm budgeting and depreciation, agricultural marketing (market classification, marketed surplus, price spread, market integration), and agricultural finance (classification of credit, nationalization of banks, and regional rural banks (RRB)).