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Is deeper always better? Evaluating deep learning models for yield forecasting with small data
Predicting crop yields, and especially anomalously low yields, is of special importance for food insecure countries. In this study, we investigate a flexible deep learning approach to forecast crop yield at the provincial administrative level based on deep 1D and 2D convolutional neural networks usi...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482790/ https://www.ncbi.nlm.nih.gov/pubmed/37672152 http://dx.doi.org/10.1007/s10661-023-11609-8 |