Identifying climate and environmental determinants of spatial disparities in wheat production using a geospatial machine learning model
Wheat production is crucial in global food security and sustainable development, especially in severe global climate change, frequent extreme weather events, and significant population growth worldwide. A deeper understanding of spatial variation in wheat production and its determining factors is es...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | GIScience & Remote Sensing |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/15481603.2025.2533487 |
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