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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Vydané v:	Computers and electronics in agriculture Ročník 239; s. 111114
Hlavní autori:	Çetiner, Halit, Metlek, Sedat
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2025
Predmet:	Artificial bee colony CNN Leaf diseases classification Optimization Precision agriculture Precision agriculture CNN Artificial bee colony Leaf diseases classification Optimization
ISSN:	0168-1699
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