Modeling Crop Production Systems
Principles and Application
1st Edition
Published on 1. January 2008
Book
Paperback/Softback
510 pages
978-1-57808-418-0 (ISBN)
Description
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.
More details
Language
English
Place of publication
Enfield
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Dimensions
Height: 229 mm
Width: 152 mm
Weight
990 gr
ISBN-13
978-1-57808-418-0 (9781578084180)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
07/2017
1st Edition
CRC Press
€297.12
Shipment within 10-20 days
E-Book
01/2008
1st Edition
CRC Press
€86.99
Available for download
Person
P Singh
Content
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