2 citations · 3 across the 2 of their papers we have counts for
3 papers
Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study
Valeriy Shevchenko, Daria Taniushkina, Aleksander Lukashevich +7
The United Nations has identified improving food security and reducing hunger as essential components of its sustainable development goals. As of 2021, approximately 828 million pe…
Assessing the Risk of Permafrost Degradation with Physics-Informed Machine Learning
Polina Pilyugina, Timofey Chernikov, Alexey Zaytsev +6
Global warming accelerates permafrost degradation, impacting the reliability of critical infrastructure used by more than five million people daily. Furthermore, permafrost thaw pr…
Long-term drought prediction using deep neural networks based on geospatial weather data
Alexander Marusov, Vsevolod Grabar, Yury Maximov +3
The problem of high-quality drought forecasting up to a year in advance is critical for agriculture planning and insurance. Yet, it is still unsolved with reasonable accuracy due t…