Working with Dynamic Crop Models

Working with Dynamic Crop Models describes mathematical and statistical methods for developing, analyzing, evaluating and applying dynamic crop models. The exposition is at a level adapted to a graduate level course in crop modeling. Starting from basic principles and simple applications it proceeds to a complete explanation of state-of-the-art methods and their application to dynamic crop models. The book provides vital ideas on predictive quality, optimizing management decisions, incorporating measuremets in real time, applying models in crop breeding, and much more. Topics covered: Parameter estimation - including Bayesian methods, Model evaluation - including evaluation of predictions and decisions, Sensitivity analysis - including global analysis and interactions, Data assimilation - the Kalman filter and extensions, Management optimization - including stochastic optimization, Models for multiple fields - emphasizing how to obtain input values, Crop models and crop breeding - recent advances in using crop models. Book jacket.