Machine Learning Applied to Tree Crop Yield Prediction Using Field Data and Satellite Imagery: A Case Study in a Citrus Orchard

Machine Learning Applied to Tree Crop Yield Prediction Using Field Data and Satellite Imagery: A Case Study in a Citrus Orchard

The overall goal of this study is to define an intelligent system for predicting citrus fruit yield before the harvest period. This system uses a machine learning algorithm trained on historical field data combined with spectral information extracted from satellite images. To this end, we used 5 yea...

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Bibliographic Details
Main Authors: Abdellatif Moussaid, Sanaa El Fkihi, Yahya Zennayi, Ouiam Lahlou, Ismail Kassou, François Bourzeix, Loubna El Mansouri, Yasmina Imani
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Informatics
Subjects:
yield prediction
machine learning
precision farming
agricultural data
spectral data
Online Access:https://www.mdpi.com/2227-9709/9/4/80

Internet

https://www.mdpi.com/2227-9709/9/4/80

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