Citrus disease detection using convolution neural network generated features and Softmax classifier on hyperspectral image data

Identification and segregation of citrus fruit with diseases and peel blemishes are required to preserve market value. Previously developed machine vision approaches could only distinguish cankerous from non-cankerous citrus, while this research focused on detecting eight different peel conditions o...

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Detalles Bibliográficos
Autores principales: Yadav, Pappu Kumar, Burks, Thomas, Frederick, Quentin, Qin, Jianwei, Kim, Moon, Ritenour, Mark A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768035/
https://www.ncbi.nlm.nih.gov/pubmed/36570926
http://dx.doi.org/10.3389/fpls.2022.1043712

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9768035/
https://www.ncbi.nlm.nih.gov/pubmed/36570926
http://dx.doi.org/10.3389/fpls.2022.1043712

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