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All Journal G-Tech : Jurnal Teknologi Terapan
Rama Saktriawindarta
Universitas Amikom Yogyakarta, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

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Metode Klasifikasi Tingkat Kematangan Buah dan Sayuran : Tinjauan Sistematis Rama Saktriawindarta; Kusrini Kusrini
G-Tech: Jurnal Teknologi Terapan Vol 8 No 4 (2024): G-Tech, Vol. 8 No. 4 Oktober 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v8i4.5067

Abstract

Maturity classification of fruits and vegetables is important to ensure product quality in the agricultural industry. The aim of this research is to optimize harvest and distribution times using deep learning and machine learning methods. A Systematic Literature Review (SLR) was used to identify effective classification methods and models. The dominant method is image processing (65%), followed by machine learning (50%) and deep learning (42.5%). Models such as CNN, AlexNet, and ResNet-50 show high accuracy. Performance evaluation uses metrics such as accuracy, precision, recall, and F1-score. To improve accuracy, future research is recommended to collect more diverse datasets and use hybrid methods. Development of computing infrastructure and workforce training are also necessary for the application of this technology in the agricultural industry.
Co-Authors Kusrini Kusrini