Cherry Tomato Production in Intelligent Greenhouses-Sensors and AI for Control of Climate, Irrigation, Crop Yield, and Quality

Sensors
Silke HemmingIsabella Righini

Abstract

Greenhouses and indoor farming systems play an important role in providing fresh and nutritious food for the growing global population. Farms are becoming larger and greenhouse growers need to make complex decisions to maximize production and minimize resource use while meeting market requirements. However, highly skilled labor is increasingly lacking in the greenhouse sector. Moreover, extreme events such as the COVID-19 pandemic, can make farms temporarily less accessible. This highlights the need for more autonomous and remote-control strategies for greenhouse production. This paper describes and analyzes the results of the second "Autonomous Greenhouse Challenge". In this challenge, an experiment was conducted in six high-tech greenhouse compartments during a period of six months of cherry tomato growing. The primary goal of the greenhouse operation was to maximize net profit, by controlling the greenhouse climate and crop with AI techniques. Five international teams with backgrounds in AI and horticulture were challenged in a competition to operate their own compartment remotely. They developed intelligent algorithms and use sensor data to determine climate setpoints and crop management strategy. All AI supported teams out...Continue Reading

References

Mar 7, 2014·Frontiers in Plant Science·Pieter H B de VisserGerie W A M van der Heijden
May 1, 2015·Tree Physiology·Kathy SteppeMaurizio Mencuccini
Apr 21, 2017·Sensors·Maryam Rahnemoonfar, Clay Sheppard
May 31, 2017·Frontiers in Plant Science·Amy Marshall-ColonXin-Guang Zhu

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Software Mentioned

WUR Flavor Tomato
KASPRO
INTKAM

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