"Predicting Canopy Chlorophyll Content in Sugarcane Crops Using Machine ..."

Amarasingam Narmilan et al. (2022)

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DOI: 10.3390/RS14051140

access: open

type: Journal Article

metadata version: 2022-10-02

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Amarasingam Narmilan, Felipe Gonzalez, Arachchige Surantha Ashan Salgadoe, Unupen Widanelage Lahiru Madhushanka Kumarasiri, Hettiarachchige Asiri Sampageeth Weerasinghe, Buddhika Rasanjana Kulasekara:
Predicting Canopy Chlorophyll Content in Sugarcane Crops Using Machine Learning Algorithms and Spectral Vegetation Indices Derived from UAV Multispectral Imagery. Remote. Sens. 14(5): 1140 (2022)

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