Temporal Vegetation Indices and Plant Height from Remotely Sensed Imagery Can Predict Grain Yield and Flowering Time Breeding Value in Maize via Machine Learning Regression. - Alper Adak; Seth C. Murray; Sofija Bozinovic; Regan Lindsey; Shakirah Nakasagga; Sumantra Chatterjee; Steven L. Anderson; Scott Wilde (Remote. Sens., 2021)

Estimating Completely Remote Sensing-Based Evapotranspiration for Salt Cedar (Tamarix ramosissima), in the Southwestern United States, Using Machine Learning Algorithms. - Sumantra Chatterjee; Ramanitharan Kandiah; Doyle Watts; Subramania Sritharan; John Osterberg (Remote. Sens., 2023)

Enhancing LAI estimation using multispectral imagery and machine learning: A comparison between reflectance-based and vegetation indices-based approaches. - Sumantra Chatterjee; Gurjinder S. Baath; Bala Ram Sapkota; K. Colton Flynn; Douglas R. Smith (Comput. Electron. Agric., 2025)