Wageningen University & Research and Tencent Announce 2nd International Autonomous Greenhouse Challenge AI Competing with Professional Farmers to Grow Food More Efficiently and EffectivelyRead Now
Wageningen, Netherlands – [2019/5/22] - Wageningen University & Research (WUR) and Tencent, will organise the 2nd edition of its International Autonomous Greenhouse Challenge in which multidisciplinary teams from around the world will use artificial intelligence to remotely produce vegetables.
The goal is to explore how AI can grow food more efficiently and effectively. Finding and breakthroughs from the competition will be converted into algorithms that enable computers to regulate and assist in the automatic cultivation of food.
In the future more greenhouses will be needed to produce food. Autonomous greenhouses and remote digital farming can help feed more people, increase food security and produce more vegetables with fewer resources such as water and energy. Significant advances are being made in automation, information technology and artificial intelligence (AI), which will help growers to better analyse and process information and make better decisions.
1st Edition 2018
During the first edition of the Autonomous greenhouse challenge in 2018, five international teams were challenged to control a greenhouse cucumber production during a 4-month period with their AI algorithms. The first edition resulted in a successful benchmark experiment demonstrating that AI algorithms can control greenhouse climate and irrigation remotely. The winning team outperformed the manual growers with 10 years of experience.
WUR and Tencent invite AI and horticultural experts to participate in the second edition of the International Autonomous Greenhouse Challenge, which begins this autumn . The goal of the challenge is to produce a cherry tomato crop within 6 months with high quality, high productivity and high resource efficiency in WUR greenhouses.
Teams will make choices with respect to the control settings in order to control the crop production and quality remotely. Teams can also add their own sensors/cameras to generate additional information. Each team will be able to extract data from the greenhouse compartment and couple it to their own machine learning algorithms to decide on the control settings for the next day/period.
They will also send the control settings back to the system so it can control the actuators automatically or send instructions for crop handling to reach a pre-defined goal.
Who can join?
Teams must consist of experts with a proven background in different fields such as artificial intelligence, sensor technology, crop physiology and horticultural production. Companies and start-ups are invited as well as scientists and students. Team must include at least 3 members. At least one team member must be a student[s4] . We encourage teams from all countries to participate.
How to join?
Registration will be open from 22 May – 15 July 2019. Information on the International Autonomous Greenhouse Challenge and how to register can be found at www.autonomousgreenhouses.nl.
22 May -15 July 2019 Registration opens for teams
22 July 2019 Confirmation of teams by the organisers
12-13 September 2019 Pre-challenge Hackathon at WUR, The Netherlands
December-May 2020 Challenge growing experiment remotely at WUR, The Netherlands
June 2020 Final Event in The Netherlands