A reference on the development and state-of-the-art in optimal greenhouse control, this book focuses on model-based methods to achieve the best economic result. The authors discuss physical models of greenhouse climate and biological models of crop growth, as well as classical rule-based and multivariable feedback controllers. Key topics include state-space crop modeling, integrated optimal control, and controllers that exploit the weather to achieve the optimal trade-off between short term savings and optimal harvest yield. Each chapter includes open issues for future research.
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