Comparison of weather-based wheat yield forecasting models for different districts of Uttarakhand using statistical and machine learning Techniques
The prediction of crop yield before harvest is crucial for facilitating the formulation and implementation of policies about food safety, transportation cost, and import-export, storage and marketing of agro-products. The weather plays a crucial role in crop growth and development. Therefore, model...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Association of agrometeorologists
2022-08-01
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| Col·lecció: | Journal of Agrometeorology |
| Matèries: | |
| Accés en línia: | https://journal.agrimetassociation.org/index.php/jam/article/view/1571 |
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