Working with dynamic crop models : methods, tools and examples for agriculture and environment - Wallach, Daniel; Makowski, David; Jones, James W.; Brun, Francois (Amsterdam : Elsevier/Academic Press, 2019)
Basics of agricultural system models -- The R Programming language and software -- Simulation with dynamic system models -- Statistical notions useful for modeling -- Regression analysis, frequentist -- Uncertainty and sensitivity analysis -- Calibration of systems models -- Parameter estimation with Bayesian methods -- Model evaluation -- Putting it all together in a case study -- Metamodeling -- Multimodel ensembles -- Gene-based crop models -- Data assimilation for dynamic models -- Models as an aid to sampling.
Includes bibliographical references and index.
Keywords: Crops -- Growth -- Mathematical models; Crop yields -- Mathematical models