Integrating spatial heterogeneity to enhance spatial temporal crop yield predictions
Crop yield predictions and monitoring are important in understanding key challenges in crop production and management to ensure the effective utilization of resources to enhance food security. Over the years remote sensing data and machine learning models have been employed with the help of ground t...
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| Formato: | Tesis |
| Lenguaje: | Inglés |
| Publicado: |
Universidade NOVA de Lisboa
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/141816 |
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