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...

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Detalles Bibliográficos
Autores principales: Bregaglio, Simone, Fischer, Kim, Ginaldi, Fabrizio, Valeriano, Taynara, Giustarini, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Plant Science
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

Internet

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

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