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Models, sensors and decision support systems in greenhouse cultivation

Code: 9781838799304
Publication date: 09/09/2019
Extent: 34 pages

Contributions by: Oliver Körner, Leibniz Institute of Vegetable and Ornamental Crops (IGZ), Germany

Chapter synopsis: Model-based decision support and automation in horticulture is accompanied today by the development of Industry 4.0, that is, today’s greenhouses are advanced production systems with the possibility of controlling the indoor climate (and with that, the crop) very accurately with intelligent algorithms based on models and/or data. This chapter discusses the potential of sensors and models within the growing mechanisation in greenhouses. The chapter examines differences in development and application of deterministic explanatory and data-based models for real-time control and decision support systems (DSS) using soft sensors and the application of planning tools. Finally, the chapter looks ahead to future research trends in this area.

DOI: 10.19103/AS.2019.0052.15
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Table of contents 1 Introduction 2 Greenhouses as controllable units for decision making 3 The decision-making process 4 Growers’ decision tools 5 Models for decision support 6 Case studies 7 Future trends and conclusion 8 Where to look for further information 9 References

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