Winning teams for participation in Autonomous Greenhouse Challenge announced

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Winning teams for participation in Autonomous Greenhouse Challenge announced

Published on
September 17, 2019

On Friday 13 September, five winning teams for the Autonomous Greenhouse Challenge were announced in Bleiswijk. This followed after a 24-hour hackathon, in which 21 international teams took part. The second edition of the challenge was organised by Wageningen University & Research and Tencent. The five winning teams are: AiCU, DIGILOG, IUA.CAAS, The Automators and Automatoes. These teams will receive a real greenhouse from December onwards in which they will grow a cherry tomato crop remotely, using artificial intelligence algorithms, in a sustainable way with low inputs of e.g. water, nutrients and energy.

Over 200 participants

21 teams with more than 200 participants and 26 nationalities participated in the hackathon. Of many teams, a large number of team members were physically present at the WUR location Bleiswijk during the 24-hour hackathon. The other team members were connected to Bleiswijk online through Skype, telephone and mail. People worked enthusiastically, invented creative algorithms and used human brain power to grow tomatoes virtually in a digital game environment.

The winners

The hackathon consisted of different parts: an international jury gave points for the team composition (20% of the points) and for their AI approach (30% of the points), the net profit that was achieved in the game to grow virtual tomatoes (50% of the points).

5 teams have been selected by the jury for the next round, in which they have to grow cherry tomatoes in a real greenhouse remotely. The 5 winning teams are:

  • AiCU, a team consisting of staff, researchers and students from Wageningen University, Evertill Co., Ltd, NXP Semiconductors, IGMPR Flower, Parks & More, Ibeo Automotive, Amsterdam UMC, CGI, Rotterdam.AI, Port Of Rotterdam-Fordata; a large part of the team also took part in the previous challenge;
  • DIGILOG, a team consisting of employees, researchers and students from A-net, Hankyong National University, Seoul National University, Samsung Electronics, University of Liege, EZFarm, FARM8, Spacewalk, ioCrops;
  • IUA.CAAS, a team consisting of employees, researchers and students of CAAS, National Agricultural Science & Technology Center, National Engineering Research Center for Information Technology in Agriculture, Sichuan Film and Television University, Syngenta Seeds B.V;
  • The Automators, a team consisting of staff and students from Delphy, Wageningen University, 30 MHz; a large part of the team also participated in the previous challenge;
  • Automatoes, a team consisting of employees, researchers and students from Van der Hoeven Horticultural Projects, TU Delft, Keygene, Hoogendoorn Growth Management.

Competition areas

During the pitch in front of an international jury, teams presented their scientific and practical approach for automatic autonomous control of a greenhouse in terms of climate, fertigation and crop growth. The teams received points for the team composition (multidisciplinary, international, different companies / knowledge institutions and other characteristics considered important by the jury) and for the AI approach (new, functional, robust, scalable, deployment of artificial intelligence).

The second part of the result was achieved in the game environment: the net profit realised in euros from a virtual tomato production. The teams were given access to a climate model and a tomato crop growth model that were developed by researchers at WUR.

Game-concept

The organizers had ensured that the models had so many possibilities that a "gaming" situation arose. For example, it was theoretically possible to achieve a financial profit that is ten times higher than growers can now achieve in practice. The crop sometimes reacted differently than expected in a practical situation. The teams themselves determine the ideal set points for temperature, amount of light, CO2 concentration and a number of cultivation-related parameters, such as plant and stem density. They did this using their own AI algorithms.

From December onwards, these teams will be running a real greenhouse with their AI algorithms. A tasty cherry tomato crop must then be grown remotely in 6 months. The challenge is supported by Axia Seeds, Grodan, Heliospectra, KPN, LetsGrow.com and Tencent.

Winning teams Autonomous Greenhouses