WeedAI: automatically evaluating weeding methods

PhenoRob partner project “WeedAI” receives funding from BMEL for 3 years.

The importance of novel methods for weed control is rapidly growing, however, evaluating the effectiveness of these technologies is lacking. “Weed AI” is working on methods to rapidly and autonomously evaluate the efficacy of weeding systems. Based on core deep learning (AI) methods for plant recognition, this project will develop vision-based methods to automatically assess the effectiveness of weeding operations (both weed and crop). Funded by the German Federal Ministry of Food and Agriculture (BMEL), it is hoped that this project will contribute to assessing new weeding technologies and improve uptake of these new technologies.