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