KLASIFIKASI PENYAKIT PADA DAUN TANAMAN KENTANG BERBASIS DEEP LEARNING

• SAFRIZAL
• 14210254

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ABSTRAK

Kentang merupakan salah satu tanaman umbi-umbian yang banyak dikonsumsi di seluruh dunia. Penyakit pada tanaman menjadi salah satu faktor utama yang mempengaruhi hasil panen. Pada penelitian ini menggunakan model Deep Learning untuk menemukan penyakit pada tanaman daun kentang, yaitu CNN, ResNet50, VGG16. Ketiga model dikombinasikan menggunakan segmentasi U-Net untuk mengklasifikasikan gambar penyakit daun dan menghasilkan model yang robust. Model CNN pada dataset PlantVillage berhasil mencapai akurasi 97.00% dengan precision dan recall yang sangat baik. Model ResNet50 pada dataset PlantVillage mencapai akurasi terbaik sebesar 89.50%, sementara pada dataset PlantDoc hanya mencapai akurasi 68.75%. Model VGG16 menunjukkan hasil yang luar biasa pada dataset PlantVillage, tetapi pada dataset PlantDoc performa turun dengan akurasi 68.75%. Hal ini disebabkan keterbatasan data dan variasi dalam dataset PlantDoc.

Kata kunci: Penyakit Tanaman, Deep Learning, PlantVillage, PlantDoc, U-Net 

KATA KUNCI

Deep Learning,PlantVillage,PlantDOc,U-Net

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