Predicting Canopy Chlorophyll Content in Sugarcane Crops Using Machine Learning Algorithms and Spectral Vegetation Indices Derived from UAV Multispectral Imagery. - Amarasingam Narmilan; Felipe Gonzalez; Arachchige Surantha Ashan Salgadoe; Unupen Widanelage Lahiru Madhushanka Kumarasiri; Hettiarachchige Asiri Sampageeth Weerasinghe; Buddhika Rasanjana Kulasekara (Remote. Sens., 2022)