Automatic Clustering and Classification of Coffee Leaf Diseases Based on an Extended Kernel Density Estimation Approach

The current methods of classifying plant disease images are mainly affected by the training phase and the characteristics of the target dataset. Collecting plant samples during different leaf life cycle infection stages is time-consuming. However, these samples may have multiple symptoms that share...

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Detalles Bibliográficos
Autores principales: Hasan, Reem Ibrahim, Yusuf, Suhaila Mohd, Mohd Rahim, Mohd Shafry, Alzubaidi, Laith
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145236/
https://www.ncbi.nlm.nih.gov/pubmed/37111827
http://dx.doi.org/10.3390/plants12081603

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10145236/
https://www.ncbi.nlm.nih.gov/pubmed/37111827
http://dx.doi.org/10.3390/plants12081603

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