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Modeling and Control of Greenhouse Crop Growth

  • Book
  • © 2015

Overview

  • For the academic researcher: describes the state of the art in greenhouse control summarizing new solutions using advanced control techniques
  • For the industrial food producer: advises improvements to software currently restricted to low-level climate and irrigation aspects of crop growth control
  • For the practitioner: improvements in greenhouse management and crop growth are made plain by real results
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Industrial Control (AIC)

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Table of contents (5 chapters)

Keywords

About this book

A discussion of challenges related to the modeling and control of greenhouse crop growth, this book presents state-of-the-art answers to those challenges. The authors model the subsystems involved in successful greenhouse control using different techniques and show how the models obtained can be exploited for simulation or control design; they suggest ideas for the development of physical and/or black-box models for this purpose.

Strategies for the control of climate- and irrigation-related variables are brought forward. The uses of PID control and feedforward compensators, both widely used in commercial tools, are summarized. The benefits of advanced control techniques—event-based, robust, and predictive control, for example—are used to improve on the performance of those basic methods.

A hierarchical control architecture is developed governed by a high-level multiobjective optimization approach rather than traditional constrained optimization and artificial intelligence techniques.  Reference trajectories are found for diurnal and nocturnal temperatures (climate-related setpoints) and electrical conductivity (fertirrigation-related setpoints). The objectives are to maximize profit, fruit quality, and water-use efficiency, these being encouraged by current international rules. Illustrative practical results selected from those obtained in an industrial greenhouse during the last eight years are shown and described. The text of the book is complemented by the use of illustrations, tables and real examples which are helpful in understanding the material.

Modeling and Control of Greenhouse Crop Growth will be of interest to industrial engineers, academic researchers and graduates from agricultural, chemical, and process-control backgrounds.

Authors and Affiliations

  • Dpto. Informática, Universidad de Almería, Almería, Spain

    Francisco Rodríguez

  • Dpto. Informática, Universidad de Almería, Almería, Spain

    Manuel Berenguel

  • Dpto. Informatica, Universidad de Almería, Almería, Spain

    José Luis Guzmán

  • Matemáticas e Informática (CITE III, Universidad de Almería, Almería, Spain

    Armando Ramírez-Arias

Bibliographic Information

  • Book Title: Modeling and Control of Greenhouse Crop Growth

  • Authors: Francisco Rodríguez, Manuel Berenguel, José Luis Guzmán, Armando Ramírez-Arias

  • Series Title: Advances in Industrial Control

  • DOI: https://doi.org/10.1007/978-3-319-11134-6

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-11133-9Published: 11 November 2014

  • Softcover ISBN: 978-3-319-34349-5Published: 10 September 2016

  • eBook ISBN: 978-3-319-11134-6Published: 01 November 2014

  • Series ISSN: 1430-9491

  • Series E-ISSN: 2193-1577

  • Edition Number: 1

  • Number of Pages: XXIX, 250

  • Number of Illustrations: 23 b/w illustrations, 76 illustrations in colour

  • Topics: Control and Systems Theory, Agriculture, Industrial and Production Engineering

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