In recent years, greenhouse horticulture has increasingly focused on data-driven or autonomous cultivation. Business operations are becoming increasingly complex and there is a need for data and decision support to make the right choices in cultivation. In recent years, the first steps towards autonomous cultivation have been taken in the (first) AGROS project. Physiological knowledge has been developed to determine the important plant processes, sensors to measure these and intelligent algorithms to control the greenhouse. These building blocks have been combined and applied in a successful validation test, in which three cucumber crops were controlled by cultivation experts, an AI algorithm and a Digital Twin.
“In these crops, control was still based on manual measurements of crop characteristics,” says Anja Dieleman, researcher at the Business unit Greenhouse Horticulture of Wageningen University & Research, and project leader of AGROS. “But an essential part of autonomous control of the greenhouse is the availability of continuous data from crop, substrate and climate based on sensors. In order to do this, we still need to take steps to select and develop the right sensors”.
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