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All Journal International Journal of Electrical and Computer Engineering TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmu Komputer dan Agri-Informatika Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) CESS (Journal of Computer Engineering, System and Science) Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Petir Jurnal Ilmu Komputer dan Bisnis Indonesian Journal of Multidisciplinary Science Jurnal Sains Terapan : Wahana Informasi dan Alih Teknologi Pertanian Journal of Applied Agricultural Science and Technology Journal of Internet and Software Engineering Journal of Technology and System Information Scientific Journal of Informatics
Shelvie Nidya Neyman
Department Of Computer Science, IPB University, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Veterinary

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Journal : Journal of Applied Agricultural Science and Technology

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Deep Learning Approaches for Plant Disease Diagnosis Systems: A Review and Future Research Agendas Riyanto, Verry; Nurdiati, Sri; Marimin, Marimin; Syukur, Muhamad; Neyman, Shelvie Nidya
Journal of Applied Agricultural Science and Technology Vol. 9 No. 2 (2025): Journal of Applied Agricultural Science and Technology
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/jaast.v9i2.308

Abstract

To identify novel advancements in plant diseases detection and classification systems employing Machine Learning (ML), Deep Learning (DL), and Transfer Learning (TL), this research compiled 111 peer-reviewed papers published between 2019 and early 2023. The literature was sourced from databases such as Scopus and Web of Science using keywords related to deep learning and leaf disease. A structured analysis of various plant disease classification models is presented through tables and graphics. This paper systematically reviews the model approaches employed, datasets utilized, countries involved, and the validation and evaluation methods applied in plant disease identification. Each algorithm is annotated with suitable processing techniques, such as image segmentation and feature extraction, along with standard experimental metrics, including the total number of training/testing datasets utilized, the quantity of disease images considered, and the classifier type employed. The findings of this study serve as a valuable resource for researchers seeking to identify specific plant diseases through a literature-based approach. Additionally, the implementation of mobile-based applications using the DL approach is expected to enhance agricultural productivity.
Co-Authors A'isy, Nabil Arif Adi, Divo Wibowo Adzimi, Sista Naelly Affriza Brilyan Relo Pambudi Agus Putra Ahmad Rizaqu Muttaqi Al Habsy, Muhamad Alexandi, Muhammad Findi Alfasih, Hafiz Agi Alghifari, Muhammad Ali Djamhuri Ali Imran Alita Wulan Dini Ansyafa, Khairunnissa Zahran Athallah, Zaki Rafi Benhard Sitohang Defiana Arnaldy Eliyah Acantha Manapa Sampetoding Erydhani, Gama Batara Ezer, Angga Eben Fadhil, Muhamad Fajarudin, Muhammad Febrika Ardy, Lutfi Aziz Halim, Kevin Viriya Harahap, Handika Saputra Hartono Wijaya, Sony Hendra Rahmawan Hendra Rahmawan Herawan, Yoga Heru Sukoco Hesmi Aria Yanti I Nyoman Prama Pradnyana Imaduddin, Zaki Imas Sukaesih Sitanggang Irawan, Ferdiansyah Irman Hermadi Istiqomah, Iklima Kudang Boro Seminar Kurniawan, Hafiz Abdul Fatah Lindayati Lindayati Lindayati Lindayati Lubis, Mohammad Hafiz Fachrezi Luki Abdullah Manurung, Cindy Arditha Claudia Marimin Marimin Mayangkara, Mahatmadi Ariq mufti, abdul Muhamad Syukur Muhammad Fikri Isnaini Muladno - Nugroho, Arga Agung Pohan, Muhammad Reza Zulva Rahman, Allegra Alif Ramadhan, Fauzan Naufal Gibran Ruswandi, Keinanjung Safitrah, Tiara Setiawan, Aep Sinaga, Antonio Banggas Gregory Sipahutar, Luat Paska Sitorus, David Zico Rafael Sri Nurdiati Sugi Guritman Suraswati, Indah Tambunan, Muhammad Rafid Habibi Toto Haryanto Verry Riyanto Wahjuni, Sri Wijaya, Sony H Yan Mitha Djaksana Yanto, Nur Witdi