Agricultural Systems Modeling and Simulation

by Robert M. Peart (Editor), W. David Shoup (Editor)

Overview

Offers a treatment of modern applications of modelling and simulation in crop, livestock, forage/livestock systems, and field operations. The book discusses methodologies from linear programming and neutral networks, to expert or decision support systems, as well as featuring models, such as SOYGRO, CROPGRO and GOSSYM/COMAX. It includes coverage on evaporation and evapotranspiration, the theory of simulation based on biological processes, and deficit irrigation scheduling.

Product Details

ISBN-13:	9781351830867
Publisher:	CRC Press
Publication date:	10/03/2018
Series:	Books in Soils, Plants, and the Environment
Sold by:	Barnes & Noble
Format:	eBook
Pages:	728
File size:	16 MB
Note:	This product may take a few minutes to download.

About the Author

Robert M. Peart, R. Bruce Curry

Table of Contents

Humanization of decision support using knowledge acquired from simulation; simulation of biological processes; mathematical techniques in biological simulation; integrating spatial and temporal aspects of a simulation - an energy example; modelling processes and operation with linear programming; expert systems for self-adjusting process simulation; evaporation models; use of crop simulation in management GOSSYM/COMAX; integrated methods and models for deficit irrigation planning; GRAZE - a beef-forage model of selective grazing; dynamical models and their application to optimizing grazing management; modelling and simulation in applied livestock production science; the plant-animal interface in models of grazing systems; field machinery selection using simulation and optimization; whole-farm simulation of field operations; fundamentals of neural networks; artificial intelligence-based optimization using agents; simulation of crop growth - CROPGRO.

Editorial Reviews

Details modern applications of modeling and simulation in crops, livestock, forage/livestock systems, and field operations. Discusses modeling methodologies such as linear programming, neural networks, and decision support systems, and agricultural models including CROPGRO and SIMHERD. Investigates the theory of methods of simulation based on biological processes, the integration of GIS technology with time-based simulation, evaporation and evapotranspiration, deficit irrigation scheduling, and machinery selection. Also presents material on fundamentals of neural networks, object-oriented programing for decision systems, using mathematics as a problem solving tool, and modeling processes and operations with linear programming. Annotation c. by Book News, Inc., Portland, Or.

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