Attention guided convolutional neural network with explainable AI for papaya leaf disease detection in edge and drone agricultural systems

Abstract Existing disease discovery in papaya leaves is most significant in achieving yield and profitability stability in the tropics but has proven difficult in the presence of deficiencies in manual exploration and tailored crop models in crop-AI systems. Therefore, this study introduces PapayaNe...

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Hlavní autoři:	Raiyan Gani, Maherun Nessa Isty, Mohammad Rifat Ahmmad Rashid, Jubaer Ahmed, Tasmia Islam, Mahamudul Hasan, Raihan Ul Islam, Shamim H. Ripon, Ahmed Wasif Reza
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-11-01
Edice:	Scientific Reports
Témata:	Papaya leaf disease Leaf classification Deep learning Attention mechanism PapayaNet Explainable AI
On-line přístup:	https://doi.org/10.1038/s41598-025-25374-w
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Attention guided convolutional neural network with explainable AI for papaya leaf disease detection in edge and drone agricultural systems

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