Project on utilizing ML for studying soil health funded by USDA

Our project “Elucidating the impact of nanoagrichemicals on paddy soil health and rice production through combined greenhouse studies and machine learning” is funded by USDA. The project is a collaboration with Dr. Samuel Ma (PI) and Dr. Fugen Dou (Co-PI) at TAMU. Chen (Co-PI) will guide the experimental design and data collection and utilize innovative statistical and machine-learning methods in the proposed research.