Agricultural Systems Modeling and Simulation
Robert M. Peart, W. David Shoup
CRC Press, Sep 16, 1997 - Technology & Engineering - 728 pages
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.
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Simulation of Biological Processes
Using Mathematics as a ProblemSolving Tool
Modeling Processes and Operations with Linear
Expert Systems for SelfAdjusting Process Simulation
Integrated Methods and Models for Deficit Irrigation
A BeefForage Model of Selective Grazing
Dynamical Systems Models and Their Application
Modeling and Simulation in Applied Livestock
Other editions - View all
Agric Agricultural analysis animal application ASAE behavior biological biomass calculated canopy carbohydrate cell wall chisel plow COMAX components constraints cost cotton crop model cultivar daily decision described determine digestion dry matter dynamic effects energy equation estimated evaporation evapotranspiration example expert system factors farm feed FIGURE forage function GOSSYM growth rate heat herbage herd implement input intake rate irrigation irrigation scheduling Julian Day leaf area leaf area index linear programming lysimeter machinery mathematical maximum neural network nitrogen nodes nutrient object operations optimal output parameters partial field pasture mass phase plane photosynthesis physiological age PNUTGRO potential predict problem processes production protein relationships root rumen scenarios scheduling seed selection senescence sensor simulation model soil water solution soybean soybean rust spatial specific surface sward temperature tion tissue tractor variables vegetative weather weight yield