Tea leaf disease detection and identification based on YOLOv7 (YOLO-T)

A reliable and accurate diagnosis and identification system is required to prevent and manage tea leaf diseases. Tea leaf diseases are detected manually, increasing time and affecting yield quality and productivity. This study aims to present an artificial intelligence-based solution to the problem...

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Detalles Bibliográficos
Autores principales: Soeb, Md. Janibul Alam, Jubayer, Md. Fahad, Tarin, Tahmina Akanjee, Al Mamun, Muhammad Rashed, Ruhad, Fahim Mahafuz, Parven, Aney, Mubarak, Nabisab Mujawar, Karri, Soni Lanka, Meftaul, Islam Md.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102080/
https://www.ncbi.nlm.nih.gov/pubmed/37055480
http://dx.doi.org/10.1038/s41598-023-33270-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102080/
https://www.ncbi.nlm.nih.gov/pubmed/37055480
http://dx.doi.org/10.1038/s41598-023-33270-4

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