ABC+CNN-SH: Detection of peruvian coffea leaf diseases with a new hybrid classification algorithm based on ABC optimization and CNN

•ABC-based hyperparameter optimization outperforms traditional methods.•The innovative solution prevents yield losses due to mineral deficiencies in Peruvian coffee plants.•The proposed efficient CNN model detects nutrient deficiencies with minimal computational overhead.•The proposed ABC+CNN-SH has...

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Bibliographic Details

Published in:	Computers and electronics in agriculture Vol. 239; p. 111114
Main Authors:	Çetiner, Halit, Metlek, Sedat
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.12.2025
Subjects:	Artificial bee colony CNN Leaf diseases classification Optimization Precision agriculture Precision agriculture CNN Artificial bee colony Leaf diseases classification Optimization
ISSN:	0168-1699
Online Access:	Get full text
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