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Analysis of Corn Yield Prediction Potential at Various Growth Phases Using a Process-Based Model and Deep Learning
Early and accurate prediction of grain yield is of great significance for ensuring food security and formulating food policy. The exploration of key growth phases and features is beneficial to improving the efficiency and accuracy of yield prediction. In this study, a hybrid approach using the WOFOS...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920366/ https://www.ncbi.nlm.nih.gov/pubmed/36771530 http://dx.doi.org/10.3390/plants12030446 |