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Journal: Remote Sens., 2022
Volume: 14
Number: 1140
1140
Article: Predicting Canopy Chlorophyll Content in Sugarcane Crops Using Machine Learning Algorithms and Spectral Vegetation Indices Derived from UAV Multispectral Imagery
Authors: by Amarasingam Narmilan, Felipe Gonzalez, Arachchige Surantha Ashan Salgadoe, Unupen Widanelage Lahiru Madhushanka Kumarasiri, Hettiarachchige Asiri Sampageeth Weerasinghe and Buddhika Rasanjana Kulasekara
Link: https://www.mdpi.com/2072-4292/14/5/1140

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