Read more
Klappentext The use of simulation models is a necessity and also an aid in the decision-making process in sustainable agricultural systems. 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. Zusammenfassung The use of simulation models is a necessity and also an aid in the decision-making process in sustainable agricultural systems. 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. Inhaltsverzeichnis 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
