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All Journal Jurnal CoreIT JISKa (Jurnal Informatika Sunan Kalijaga) Innovation in Research of Informatics (INNOVATICS) Journal of Soft Computing Exploration Journal of Information System Exploration and Research
Darmawan, Aditya Yoga
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science

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Journal : Journal of Soft Computing Exploration

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Grape leaf disease classification using efficientnet feature extraction and catboostclassifier Darmawan, Aditya Yoga; Tanga, Yulizchia Malica Pinkan; Unjung, Jumanto
Journal of Soft Computing Exploration Vol. 6 No. 1 (2025): March 2025
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v6i1.507

Abstract

Grapes are one of the most extensively cultivated crops worldwide due to their significant economic importance. However, the productivity of grape crops is often threatened by diseases caused by bacterial, fungal, or viral infections. Traditionally, the detection of infected grape leaves has been conducted through manual visual inspections, a method that is both time-consuming and prone to biases. Recent studies have leveraged transfer learning models to classify grape leaf diseases with high accuracy. Despite this progress, there is a notable gap in research exploring the integration of transfer learning for feature extraction and machine learning for feature classification in detecting grape leaf diseases. This study introduces a novel approach that combines transfer learning using EfficientNetB0 for feature extraction with a machine learning model, specifically Categorical Boosting (CatBoost), for feature classification. The proposed model demonstrates outstanding performance, achieving an accuracy of 99.56% on the test dataset, surpassing traditional transfer learning methods reported in previous studies.
Co-Authors Al Qohar, Bagus Dullah, Ahmad Ubai Ishak, Muhamad Izaidi Jumanto Unjung Much Aziz Muslim Pertiwi, Dwika Ananda Agustina Qohar, Bagus Al Tanga, Yulizchia Malica Pinkan