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All Journal OKTAL : Jurnal Ilmu Komputer dan Sains
Reza Rohman Fadhilah
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Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences

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LITERATUR RIVIEW: KLASIFIKASI PENYAKIT TANAMAN CABAI DENGAN PENDEKATAN CNN DAN TRANSFER LEARNING Falah Nurdiansyah; Leadrin Fandyani; Muhammad Ilyas Faisal; Reza Rohman Fadhilah
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 11 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Diseases in chili plants are a serious problem that can significantly reduce crop yields and production quality, making early detection essential to assist farmers. This study uses a Convolutional Neural Network (CNN) approach with Transfer Learning methods to classify diseases on chili plant leaves. Infected chili leaf image data is processed and trained using a pre-trained CNN model to improve classification accuracy, even with limited data. The results show that this approach successfully identifies various types of diseases on chili leaves with a high level of accuracy. This approach is expected to be an effective solution for the agricultural sector to achieve faster and more efficient plant disease detection.
Co-Authors Falah Nurdiansyah Leadrin Fandyani Muhammad Ilyas Faisal