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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Veröffentlicht in:	Computers and electronics in agriculture Jg. 239; S. 111114
Hauptverfasser:	Çetiner, Halit, Metlek, Sedat
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2025
Schlagworte:	Artificial bee colony CNN Leaf diseases classification Optimization Precision agriculture Precision agriculture CNN Artificial bee colony Leaf diseases classification Optimization
ISSN:	0168-1699
Online-Zugang:	Volltext
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