Providing a single-source reference on the development and state-of-the-art in optimal greenhouse control, this book focuses on model-based methods to achieve the best economical 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. To stimulate new lines of future research, each chapter includes open issues that need to be addressed.
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