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eess.IV2020★ 1 cited
SMArtCast: Predicting soil moisture interpolations into the future using Earth observation data in a deep learning framework
Conrad James Foley, Sagar Vaze, Mohamed El Amine Seddiq +2
Soil moisture is critical component of crop health and monitoring it can enable further actions for increasing yield or preventing catastrophic die off. As climate change increases…
eess.IV2019★ 13 cited
Prediction of Soil Moisture Content Based On Satellite Data and Sequence-to-Sequence Networks
Natalia Efremova, Dmitry Zausaev, Gleb Antipov
The main objective of this study is to combine remote sensing and machine learning to detect soil moisture content. Growing population and food consumption has led to the need to i…