Nondestructive Detection of Codling Moth Infestation in Apples Using Pixel-Based NIR Hyperspectral Imaging with Machine Learning and Feature Selection

Nondestructive Detection of Codling Moth Infestation in Apples Using Pixel-Based NIR Hyperspectral Imaging with Machine Learning and Feature Selection

Codling moth (CM) (<i>Cydia pomonella</i> L.), a devastating pest, creates a serious issue for apple production and marketing in apple-producing countries. Therefore, effective nondestructive early detection of external and internal defects in CM-infested apples could remarkably prevent...

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Bibliographic Details
Main Authors: Nader Ekramirad, Alfadhl Y. Khaled, Lauren E. Doyle, Julia R. Loeb, Kevin D. Donohue, Raul T. Villanueva, Akinbode A. Adedeji
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Foods
Subjects:
apples
codling moth
hyperspectral imaging
near-infrared
machine learning
feature selection
Online Access:https://www.mdpi.com/2304-8158/11/1/8

Internet

https://www.mdpi.com/2304-8158/11/1/8

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