Agricultural Statistics, Mathematics and Computer Applications

authored by: M. Kalpana, R. Parimalarangan, B. Sivasankari & U. Arulanandu
ISBN: 9789395319041 | Binding: Hardback | Pages: 258 | Language: English | Year of Publishing: 2023
Length: 152 mm | Breadth: 20 mm | Height: 229 mm | Imprint: NIPA | Weight: 498 GMS
INR 2,995.00 INR 2,696.00
Free Worldwide Delivery Within 10-15 Days By Indian Post (Traceable Methods)


Agricultural data analysis, Statistical methods in agriculture, Farm yield forecasting, Crop production analytics, Precision farming statistics, Agricultural surveys, Mathematical modeling in agriculture, Data-driven farming decisions, Agroinformatics, Computer applications in farming, Agricultural technology trends, Big data in agriculture, Machine learning for crop prediction, Statistical tools for agronomy, Digital farming statistics, Agricultural data visualization, Mathematics in agribusiness, Farm management software, Remote sensing in agriculture, Computational agriculture, Statistical analysis of soil data, Data integration in farming, Decision support systems for farmers, Precision agriculture technology, Mathematical optimization in farming

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)).

Unit-I: Agricultural Statistics, Unit-II: Mathematics, Unit-III: Computer Applications, Unit-IV: Agricultural Economics

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