Chloros Inc. Provides AI Image Analysis Technology for Rice Breeding in Fukuoka

Chloros Inc. introduces a case study on the use of crop image analysis AI, focusing on rice breeding initiatives at the Fukuoka Agricultural Research Center. Against the backdrop of climate change, developing crop varieties with high heat tolerance and disease resistance has become increasingly critical. The research center is leveraging AI-based image diagnostic technology to improve the efficiency and sophistication of disease resistance evaluation. Previously, visual inspections in test fields were time-consuming and labor-intensive; however, the introduction of AI allows for automated evaluation of disease severity. This initiative is expected to standardize evaluations and advance data-driven variety selection, potentially shortening the breeding cycle.