Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study

Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study

This study addresses the critical global issue of food security, particularly under the influence of climate change on agricultural land suitability. The primary objective of our research is to predict the risks associated with land suitability degradation and changes in irrigation patterns, directl...

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Bibliographic Details
Main Authors: Valeriy Shevchenko, Aleksandr Lukashevich, Daria Taniushkina, Alexander Bulkin, Roland Grinis, Kirill Kovalev, Veronika Narozhnaia, Nazar Sotiriadi, Alexander Krenke, Yury Maximov
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Agriculture
classification
climate change
cropland
food security
irrigation
Online Access:https://ieeexplore.ieee.org/document/10415007/

Internet

https://ieeexplore.ieee.org/document/10415007/

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