Autonomous Greenhouses 2nd Edition


Autonomous Greenhouses 2nd Edition

Computer scientists and horticultural experts form multidisciplinary teams to challenge themselves as well as the state of the art in human operated greenhouse production in order to make a large step towards the Autonomous Greenhouse. If the capabilities of an AI driven greenhouse can be demonstrated, it will imply a significant opportunity to drive horticultural productivity while reducing resource use and management complexity. AI might help us live healthier lives and make it possible to produce more vitamin rich food in greenhouses for growing human populations.

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 scorelist of the Jury.

The 5 winning teams are:

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.



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.

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The challenge is supported by Axia Seeds, Grodan, Heliospectra, KPN, and Tencent.