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Enhancing Plant Disease Detection: Incorporating Advanced CNN Architectures for Better Accuracy and Interpretability

Abstract Convolutional Neural Networks (CNNs) have proven effective in automated plant disease diagnosis, significantly contributing to crop health monitoring. However, their limited interpretability hinders practical deployment in real-world agricultural settings. To address this, we explore advanc...

Бүрэн тодорхойлолт

-д хадгалсан:
Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид: Alfonso González-Briones, Sebastián López Florez, Pablo Chamoso, Luis F. Castillo-Ossa, Emilio S. Corchado
Формат: Artigo
Хэл сонгох:Inglês
Хэвлэсэн: Springer 2025-05-01
Цуврал:International Journal of Computational Intelligence Systems
Нөхцлүүд:
Онлайн хандалт:https://doi.org/10.1007/s44196-025-00835-2
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