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

Title
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
Authors
Keywords
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Journal
Agronomy-Basel
Volume 9, Issue 4, Pages 203
Publisher
MDPI AG
Online
2019-04-22
DOI
10.3390/agronomy9040203

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