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All Journal JATIKOM: Jurnal Aplikasi dan Teori Ilmu Komputer
Himmah, Amirah Dzatul
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Klasifikasi Penyakit Daun Tanaman Tomat Menggunakan EfficientFormer Wihardi, Yaya; Erlangga, Erlangga; Himmah, Amirah Dzatul; Siregar, Herbert
Jurnal Aplikasi dan Teori Ilmu Komputer Vol 7, No 2 (2024): September 2024, Jurnal Aplikasi dan Teori Ilmu Komputer (Jatikom)
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jatikom.v7i2.80339

Abstract

Tomatoes are crucial crops for Indonesian farmers, but they often suffer from diseases caused by fungi, bacteria, and viruses, leading to potential 40% yield loss. Current methods of spotting these diseases by eye result in costly and ineffective use of pesticides. This study focuses on a new way to classify tomato plant diseases using EfficientFormer. This method aims for high accuracy and fast inference time. The model reached an impressive 92% accuracy and takes just 0.4 seconds to identify diseases. This new approach could help farmers spot tomato plant diseases more accurately and quickly, potentially reducing economic losses and excessive pesticide use in Indonesia.
Co-Authors Erlangga Erlangga Siregar, Herbert Wihardi, Yaya