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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2023
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| Subjects: | |
| Online Access: | http://eprints.utm.my/106369/1/ReemIbrahimHasan2023_AutomaticClusteringandClassificationofCoffee.pdf |