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Intelligent Identification of Jute Pests Based on Transfer Learning and Deep Convolutional Neural Networks

Pest attacks pose a substantial threat to jute production and other significant crop plants. Jute farmers in Bangladesh generally distinguish between different pests that appear to be the same using their eyes and expertise, which isn't always accurate. We developed an intelligent model for jut...

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Detalles Bibliográficos
Autores principales: Sourav, Md Sakib Ullah, Wang, Huidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376051/
https://www.ncbi.nlm.nih.gov/pubmed/35990859
http://dx.doi.org/10.1007/s11063-022-10978-4

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