AIFS team places among top teams at Autonomous Greenhouse Challenge
A team affiliated with AIFS participated in the 3rd annual Autonomous Greenhouse Challenge, organized by Wageningen University & Research and Tencent. The team worked over the summer to develop a machine learning algorithm for greenhouse operation and management. The goal is to maximize the greenhouse lettuce growth net profit, by controlling greenhouse operations and considering fixed costs, running costs, and quality of production. The contest was divided into parts A and B, with the AIFS team placing 2nd among 45 teams in the part B Machine Learning section.
Quote from Dr. Silke Hemming, Head of the Scientific Research Team/Greenhouse Technology at Wageningen University. “During the Online Autonomous Greenhouse Challenge the AIFS team applied machine learning to an actual problem and delivered a good contribution to solve it: The (virtual) autonomous growing of lettuce in greenhouses to improve high quality and on-time fresh vegetable production. The world’s food problems need solutions such as those derived from the Autonomous Greenhouse Challenge, and we are happy that the AIFS team is involved.” A video of the presentation is available on our YouTube Channel.