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The HADES Yield Prediction System – A Case Study on the Turkish Hazelnut Sector
Crop yield forecasting activities are essential to support decision making of farmers, private companies and public entities. While standard systems use georeferenced agro-climatic data as input to process-based simulation models, new trends entail the application of machine learning for yield predi...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8216502/ https://www.ncbi.nlm.nih.gov/pubmed/34163506 http://dx.doi.org/10.3389/fpls.2021.665471 |