Time Series from Sentinel-2 for Organic Durum Wheat Yield Prediction Using Functional Data Analysis and Deep Learning

Time Series from Sentinel-2 for Organic Durum Wheat Yield Prediction Using Functional Data Analysis and Deep Learning

Yield prediction is a crucial activity in scheduling agronomic operations and in informing the management and financial decisions of a wide range of stakeholders of the organic durum wheat supply chain. This research aims to develop a yield forecasting system by combining vegetation index time-serie...

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Bibliographic Details
Main Authors: Adriano Mancini, Francesco Solfanelli, Luca Coviello, Francesco Maria Martini, Serena Mandolesi, Raffaele Zanoli
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Agronomy
Subjects:
smart farming
crop yield prediction
deep learning
remote sensing
Online Access:https://www.mdpi.com/2073-4395/14/1/109

Internet

https://www.mdpi.com/2073-4395/14/1/109

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