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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Bibliographic Details
Main Authors: Hasan, Reem Ibrahim, Mohd. Yusuf, Suhaila, Mohd. Rahim, Mohd. Shafry, Alzubaidi, Laith
Format: Article
Language:English
Published: MDPI 2023
Subjects:
Online Access:http://eprints.utm.my/106369/1/ReemIbrahimHasan2023_AutomaticClusteringandClassificationofCoffee.pdf
http://eprints.utm.my/106369/
http://dx.doi.org/10.3390/plants12081603
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Institution: Universiti Teknologi Malaysia
Language: English
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