The results of a study conducted at WUR are set to be announced soon. The thesis aimed to develop an AI solution for autonomous greenhouse climate control and crop management, which comprises a simulation model, multiple AI agents, and configuration management mechanisms for adapting the AI solution to different real environments. The operation of the AI solution follows the three steps of the route map. First, the simulation model is configured towards the target real greenhouse regarding greenhouse structure, equipment, and crop cultivar. Then, AI agents for greenhouse climate control and crop management are trained in the simulated environment with reinforcement learning algorithms. Finally, the AI agents are migrated to the real greenhouse, for which the observations of the real environment are configured to reduce the effects of uncertainties before they are sent to the AI agents. This thesis developed the AI solution with a case study of greenhouse tomato production.
PhD candidate: Xiaohan Zhou
Promotor: Dr. Q (Qingzhi) Liu, Dr. ir. E (Ep) Heuvelink, Prof.Dr.ir. LFM (Leo) Marcelis
External co-promotor: Dr Tian Qian
Organization: Wageningen University
Date: Fri 17 January 2025 13:00 to 14:00
Venue: Omnia, building number 105
Hoge Steeg 2
105
6708 PH Wageningen, the Netherlands
Source: Wageningen University & Research