Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt

Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt

Forecasting crop yields is becoming increasingly important under the current context in which food security needs to be ensured despite the challenges brought by climate change, an expanding world population accompanied by rising incomes, increasing soil erosion, and decreasing water resources. Temp...

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Bibliographic Details
Main Authors: Aleksandra Wolanin, Gonzalo Mateo-García, Gustau Camps-Valls, Luis Gómez-Chova, Michele Meroni, Gregory Duveiller, You Liangzhi, Luis Guanter
Format: Article
Language:English
Published: IOP Publishing 2020-01-01
Series:Environmental Research Letters
Subjects:
wheat yield
Indian Wheat Belt
food security
remote sensing
explainable artificial intelligence (XAI)
deep learning (DL)
Online Access:https://doi.org/10.1088/1748-9326/ab68ac

Internet

https://doi.org/10.1088/1748-9326/ab68ac

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