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Febryantahanuji Febryantahanuji
Universitas Sains Dan Teknologi Komputer
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Nursing Public Health Social Sciences Other

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Journal : Systematic Literature Review Journal

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Systematic Literature Review on CNN and YOLO Algorithms for Detecting Plant Diseases in Precision Agriculture Dani Sasmoko; Eko Siswanto; Febryantahanuji Febryantahanuji
Systematic Literature Review Journal Vol. 1 No. 1 (2025): Januari: Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i1.50

Abstract

Computer vision-based algorithms, especially Convolutional Neural Networks (CNN) and You Only Look Once (YOLO), have become the leading approaches in plant disease detection. CNN excels in extracting complex visual features for disease classification, while YOLO provides high-efficiency real-time object detection capabilities. Both algorithms have shown promising results in various studies, especially with controlled datasets. However, challenges remain in their application in real-world conditions, such as environmental diversity, overlapping symptoms, and poorly annotated data. Future research has the potential to optimize these algorithms through the development of lighter models, the use of transfer learning techniques, and multi-modal data integration. In addition, further exploration of a wider range of diseases, crops, and environmental conditions can expand the application of these algorithms. By leveraging these innovations, computer vision-based plant disease management can be improved to support sustainable precision agriculture.
Co-Authors Achmad Solechan Ahmad Ashifuddin Aqham Arsito Ari Kuncoro Ayu Miranti Kusumaningrum Bambang Widjanarko Susilo Bayu Agus Pamabudi Benny Cuaca Budi Hartono budi hartono Danang Danang Danang, Danang Danang, Danang Dani Sasmoko Edy Noriyanto Edy Susanto Eka Satria Wibawa Eko Siswanto Eko Siswanto Elok Rosyidah Erwan Hidayat Erwan Nur Hidayat Fandholi, Achmad Fany Frisca Tiara Zheninta Galuh Aditya Galuh Aninditiyah Hadi Yusuf Hadi Yusuf Hannief Giarni Haryo Kusumo Haryo Kusumo Hendri Rasminto Iddo Elianta Herlambang Iddo Elianta Herlambang Iman Saufik Suasana Jaelani Jaelani Jarot Dian Susatyono Jarot Dian Susatyono Jarot Jarot Dian, Jarot Dian Susatyono Jarot, Jarot Dian Susatyono Kasih Purwantini Kharismawati, Ria Khoirur Rozikin Kinanti Sekar Arum Kusumo, Haryo Lutmawati Lutmawati M. Frisky Pandu Maryati, Rima Febriana Maya Utami Dewi Metta, Wimala Marsela Migunani Migunani Muhammad Ryza Awwali , Sulartopo, Muhammad Ryza Awwali , Mutia, Yunna Nanik Lestari Nanik Qosidah Nindi Anggi Wardani PADJAR SETYO BUDI Pratiwi, Intan Rezky Eko Prasetyo Ria Kharismawati Rima Febriana Maryati Rini Rubhiyanti Rini Rubhiyanti Rini Rubhiyanti Rini Rubhiyanti Rini Rubhiyanti Risma Nurhapsari Rohman, M Aguts RR. Ella Evrita Hestiandari Rusito Sekar Putri Pertiwi Sekar Putri Pertiwi Setiyo Prihatmoko Sindhu Rakasiwi SITI KHOLIFAH Somad, Mohamad Ali Sri Wahyuning Sumaryanto Suprapti Suprapti Tantik Sumarlin . Toni Wijanarko Adi Putra Triyani Triyani Uswatun Khasanah Vivi Kumalasari, Vivi Yuli Fitrianto Yussi Anggraini Zaenal Mustofa Zahra Dinul Khaq Zarah Dinul Khaq