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

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...

Full description

Bibliographic Details
Main Authors: Michele Croci, Giorgio Impollonia, Michele Meroni, Stefano Amaducci
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
Sentinel-2
yield prediction
phenology
machine learning
multi-source data
dimensionality reduction
Online Access:https://www.mdpi.com/2072-4292/15/1/100

Internet

https://www.mdpi.com/2072-4292/15/1/100

Similar Items