Dynamic Maize Yield Predictions Using Machine Learning on Multi-Source Data

Timely yield prediction is crucial for the agri-food supply chain as a whole. However, different stakeholders in the agri-food sector require different levels of accuracy and lead times in which a yield prediction should be available. For the producers, predictions during the growing season are esse...

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Главные авторы:	Michele Croci, Giorgio Impollonia, Michele Meroni, Stefano Amaducci
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2022-12-01
Серии:	Remote Sensing
Предметы:	Sentinel-2 yield prediction phenology machine learning multi-source data dimensionality reduction
Online-ссылка:	https://www.mdpi.com/2072-4292/15/1/100
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