enrolment for the 4th edition of the Autonomous Greenhouse Challenge is closed . In the current edition , more than 20 squad will participate , there are more than 200 player , 24 nationalities from all continent . The community around the theme keep on to raise .
In this variant , Wageningen University & Research ( WUR ) and co - developer Tencent challenge teams to grow midget tomatoes remotely using contrived intelligence ( AI ) . The challenger bug out this spring and consists of an Online Challenge in which AI and horticultural experts farm a virtual crop . The top five team from the Online Challenge will get their own greenhouse compartment at WUR in Bleiswijk , the Netherlands , in fall 2024 . There , they will contend with each other to grow real midget tomatoes as sustainably and autonomously as possible .
More food thanks to autonomous greenhousesWith an ever - growing humankind population , the requirement for fresh and salubrious fruit and vegetables is increasing . According to the Food and Agriculture Organization ( FAO ) of the United Nations , it will require 60 % nifty nutrient production to feed a world-wide population estimated to strain 9 billion by 2050 . self-reliant greenhouse can ensure that more hoi polloi are fed with vitamin- and mineral - copious green groceries . In addition , these proficiency can help improve food base hit and increase the yield of goodly veggie while using few imagination such as water and energy .
The potency of independent ontogeny has been successfully exhibit in previous variation of the challenge . This year , dwarf tomatoes take center leg . Tomatoes are traditionally produce in a high - wire cultivation arrangement , and they grow beat magniloquent , ask a mountain of manual labor . Dwarf tomatoes , on the other mitt , stay compact , only about 40 centimeter high . This have them idealistic for full automation and cultivation in urban environments .
Challenge as a connection between AI and food productionBy organizing the Autonomous Greenhouse Challenge , WUR and carbon monoxide - developer and technology company Tencent need to further get in touch the world of AI and solid food production , develop knowledge , and make this noesis publicly approachable . The challenge is thus a part to globular sweat to make food for thought systems more sustainable .
Online challenge for AI expertsThe first part of the 4th edition of the Autonomous Greenhouse Challenge will take place from 2 April to 31 May as an Online Challenge . This part of the challenge is centre on testing participants ' machine eruditeness and computer visual sense accomplishment . During the information processing system sight part of the challenge , teams must develop algorithms based on grooming prototype of gnome tomato plants . Those self-governing algorithmic program must measure plant characteristic , for example , works tiptop , leaf area , the number of fruits , and their maturity .
In the simple machine learning part , team are take exception to expend political machine learning to develop algorithmic program to autonomously control respiration , heating system , and lighting in a practical greenhouse , among other things . The algorithms should stimulate the ontogeny of a virtual midget tomato plant crop while minimizing the enjoyment of DOE .
Hackathon event for take part teamsAll participating teams will then be invited to a Hackathon event on 6/7 June at WUR in Bleiswijk . During this event , the point for the two function of the Online Challenge will be announced . Teams can nock superfluous points by perform an additional task and by contribute a pitch of their approach in front of an international panel . The five good teams with the most point from all parts will be select during the Hackathon event . They will receive their own greenhouse incision in the autumn to evidence their skills in a real dwarf Lycopersicon esculentum harvest .
reservoir : wur.nl
