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...

Полное описание

Библиографические подробности

Главные авторы:	Parul Nasra, Sheifali Gupta, Mudassir Khan, Jaibir Singh, Bayan Alabdullah, Abrar Almjally, Ruby Pant, Nitin Kumar, Salil Bharany
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Frontiers Media S.A. 2025-11-01
Серии:	Frontiers in Plant Science
Предметы:	lettuce disease detection deep learning efficientNetB4 feature bottleneck module (FBM) dilated convolutions feature refinement module (FRM)
Online-ссылка:	https://www.frontiersin.org/articles/10.3389/fpls.2025.1704647/full
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!