Real-Time Monitoring of Cropping Pattern Using Geospatial Analysis
This contribution will significantly impact agricultural monitoring and decision-making processes through the integration of remote sensing and machine learning. These advancements will lead to more accurate and timely data on crop patterns, enabling better resource management and policy-making.
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| Formato: | Ponencia |
| Lenguaje: | Inglés |
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International Crops Research Institute for the Semi-Arid Tropics
2024
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| Acceso en línea: | https://hdl.handle.net/10568/162671 |
| Sumario: | This contribution will significantly impact agricultural monitoring and decision-making processes through the integration of remote sensing and machine learning. These advancements will lead to more accurate and timely data on crop patterns, enabling better resource management and policy-making. |
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