Identifying the Relative Importance of Soil Moisture, Relative Humidity, and Temperature for Solar-Induced Chlorophyll Fluorescence of Crops Using Machine Learning Models

Wang, Qiren

Identifying the Relative Importance of Soil Moisture, Relative Humidity, and Temperature for Solar-Induced Chlorophyll Fluorescence of Crops Using Machine Learning Models

Qiren Wang, Peking University, Beijing, China, Pierre Gentine, Columbia University, Department of Earth and Environmental Engineering, New York, NY, United States and Jiangong Liu, Columbia University, New York, United States