The second international “Autonomous greenhouse challenge” 2019/20 aimed in combining horticultural expertise with AI to make breakthroughs in fresh food production with fewer resources. International teams conducted an experiment to grow remotely a cherry tomato crop during a 6-months-period in greenhouse of WUR, The Netherlands.

Maximize net profit with AI algorithms

The goal was to maximize net profit by increasing yield and fruit quality and therefore income and limiting resource use and therefore costs. Each team had a greenhouse compartment equipped with standard actuators and sensors (heating, ventilation, screening, artificial lighting, fogging, CO2 supply, irrigation), teams added a variety of own sensors to monitor the crop. Climate and irrigation control setpoints and crop pruning strategies were remotely determined by teams by AI algorithms.

Join the webinar

Learn more on possibilities of artificial intelligence in remote greenhouse tomato growing. Keynote David Wallerstein, CXO Tencent, analysis of results by Silke Hemming, WUR and announcement of winning team of our this year’s challenge.

Webinar organized by Greentech on 8 June 9:00-10:30 h CET.

• Read more and register now

Thanks to our sponsors: Tencent, Grodan, Axia Seeds, LetsGrow.com, Heliospectra, KPN:

 

 

 

 

 

Thanks to our jury: Leo Marcelis, Marco Bressan, Eric Vereijken, Gerrit van Straten, Dijun Luo

Thanks to all participating teams: AiCU, The Automators, IUA.CAAS, DIGILOG, Automatoes

Thanks to our reference growers: Ted Duijvestijn, Marissa Duijn, Kees Stijger