Deep learning-based phenotyping of lettuce diseases using Efficient-FBM-FRMNet for precision agriculture

Lettuce (Lactuca sativa), a widely cultivated leafy vegetable, is highly susceptible to bacterial and fungal infections that severely reduce yield and quality. Rapid and accurate disease identification is therefore essential for precision agriculture and sustainable crop management. This study propo...

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Bibliografiske detaljer

Principais autores:	Parul Nasra, Sheifali Gupta, Mudassir Khan, Jaibir Singh, Bayan Alabdullah, Abrar Almjally, Ruby Pant, Nitin Kumar, Salil Bharany
Format:	Artigo
Sprog:	Inglês
Udgivet:	Frontiers Media S.A. 2025-11-01
Serier:	Frontiers in Plant Science
Fag:	lettuce disease detection deep learning efficientNetB4 feature bottleneck module (FBM) dilated convolutions feature refinement module (FRM)
Online adgang:	https://www.frontiersin.org/articles/10.3389/fpls.2025.1704647/full
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