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Grape leaf image disease classification using CNN-VGG16 model
Klasifikasi penyakit citra daun anggur menggunakan model CNN-VGG16
2021
Jurnal Teknologi dan Sistem Komputer
Klasifikasi penyakit citra daun anggur menggunakan model CNN-VGG16
This study aims to classify the disease image on grape leaves using image processing. The segmentation uses the k-means clustering algorithm, the feature extraction process uses the VGG16 transfer learning technique, and the classification uses CNN. The dataset is from Kaggle of 4000 grape leaf images for four classes: leaves with black measles, leaf spot, healthy leaf, and blight. Google images of 100 pieces were also used as test data outside the dataset. The accuracy of the CNN model
doi:10.14710/jtsiskom.2021.14013
fatcat:ckgced63u5e4limtehb5atrata