Overview

The use of simulation models is a necessity and also an aid in the decision-making process in sustainable agricultural systems. Organizing the experimental knowledge of crop production systems without the book keeping and deductive methods of mathematics is very difficult. This book aims to guide readers in the process by which the properties of the systems can be grasped in the framework of mathematical structure with minimal mathematical prerequisites. The objective of this book is to help the undergraduate, graduate and post-graduate students in the disciplines of agronomy, plant breeding, agricultural meteorology, crop physiology, agricultural economics, entomology, plant pathology, soil science and ecology (environmental science). This book may also be useful for administrators in various agricultural universities in order to direct research, extension and teaching activities. Planners at national and state levels may also benefit from this book.

Full Product Details

Author:   P Singh
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9781138401532

ISBN 10:   1138401536
Pages:   510
Publication Date:   27 July 2017
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Philosophy, Role and Terminology of System Science: History of System Science; General Topology and Terminology of Systems; Three ProblemsDevelopment of Model Structure: Variables and their Classification; Relationship between Variables; Structural (Black Box) Model; Refinement in Structural ModelsSpecification of Component Behavior: Algebraic Form; Use of Matrix Algebra in Principal Component Analysis; Use of Matrix Algebra in Linear Programming for Optimization of the System; Use of Matrix Algebra for Distance Measurements; Integral-Differential Form; Parameter Estimation; Non-statistical Procedure for Estimating the Parameters (Physical Approach) Computer Implementation: Model Software Requirement; Generalized Model; Software Specification; Data SystemsModel Testing and Validation: Sensitivity Analysis; Stability Analysis; ValidationBiological Application of Models: Prey-Predator System; Plant Competition Studies; Environmental ManagementAppendix: A. Exercises on Modeling Crop Production Systems; B. Discussion and Solutions of Exercises

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P Singh

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