Development and Validation of Innovative Machine Learning Models for Predicting Date Palm Mite Infestation on Fruits

Development and Validation of Innovative Machine Learning Models for Predicting Date Palm Mite Infestation on Fruits

The date palm mite (DPM), <i>Oligonychus afrasiaticus</i> (McGregor), is a key pest of unripe date fruits. The detection of this mite depends largely on the visual observations of the webs it produces on the green fruits. One of the most important problems of DPM control is the lack of a...

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Bibliographic Details
Main Authors: Maged Mohammed, Hamadttu El-Shafie, Muhammad Munir
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Agronomy
Subjects:
decision forest regression (DFR)
integrated pest management (IPM)
linear regression (LR)
machine learning dataset (MLD)
meteorological variables
physicochemical properties
Online Access:https://www.mdpi.com/2073-4395/13/2/494

Internet

https://www.mdpi.com/2073-4395/13/2/494

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