Frost forecasting via weakly-supervised semantic segmentation of satellite imagery
Recent research on frost forecasting has employed machine learning approaches to build prediction models tailored to specific locations. Although these models have proven effective, their applications are limited to areas where meteorological observations are available. Forecasting coverage can be e...
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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/10.1080/15481603.2025.2496013 |
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