Towards Predictive Modeling of Sorghum Biomass Yields Using Fraction of Absorbed Photosynthetically Active Radiation Derived from Sentinel-2 Satellite Imagery and Supervised Machine Learning Techniques

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Authors: Ephrem Habyarimana, Isabelle Piccard, Marcello Catellani, Paolo De Franceschi, Michela Dall’Agata

Journal title: Agronomy

Journal number: 9/4

Journal publisher: MDPI

Published year: 2019

Published pages: 203

DOI identifier: 10.3390/agronomy9040203

ISSN: 2073-4395