Optimized ensemble learning for non-destructive avocado ripeness classification

Optimized ensemble learning for non-destructive avocado ripeness classification

Classifying avocado ripeness accurately is crucial for enhancing post-harvest management and minimizing waste in agricultural supply chains. This study focuses on creating a strong ensemble classification model using spectral data from 120 kilogrammes of Buccaneer avocados obtained from the Royal Pr...

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Bibliographic Details
Main Authors: Panudech Tipauksorn, Prasert Luekhong, Minoru Okada, Jutturit Thongpron, Chokemongkol Nadee, Krisda Yingkayun
Format: Article
Language:English
Published: Elsevier 2025-12-01
Series:Smart Agricultural Technology
Subjects:
Avocado ripeness classification
Ensemble learning
Optimization algorithms
NIR spectroscopy
Precision agriculture
Machine learning in agriculture
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375525003478
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http://www.sciencedirect.com/science/article/pii/S2772375525003478

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