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Indra Sakti
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Journal : Journal of Engineering and Technological Sciences

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Comparison Study of Corn Leaf Disease Detection based on Deep Learning YOLO-v5 and YOLO-v8 Chitraningrum, Nidya; Banowati, Lies; Herdiana, Dina; Mulyati, Budi; Sakti, Indra; Fudholi, Ahmad; Saputra, Huzair; Farishi, Salman; Muchtar, Kahlil; Andria, Agus
Journal of Engineering and Technological Sciences Vol. 56 No. 1 (2024)
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2024.56.1.5

Abstract

Corn is one of the primary carbohydrate-rich food commodities in Southeast Asian countries, among which Indonesia. Corn production is highly dependent on the health of the corn plant. Infected plants will decrease corn plant productivity. Usually, corn farmers use conventional methods to control diseases in corn plants. Still, these methods are not effective and efficient because they require a long time and a lot of human labor. Deep learning-based plant disease detection has recently been used for early disease detection in agriculture. In this work, we used convolutional neural network algorithms, namely YOLO-v5 and YOLO-v8, to detect infected corn leaves in the public data set called ‘Corn Leaf Infection Data set’ from the Kaggle repository. We compared the mean average precision (mAP) of mAP 50 and mAP 50-95 between YOLO-v5 and YOLO-v8. YOLO-v8 showed better accuracy at an mAP 50 of 0.965 and an mAP 50-95 of 0.727. YOLO-v8 also showed a higher detection number of 12 detections than YOLO-v5 at 11 detections. Both YOLO algorithms required about 2.49 to 3.75 hours to detect the infected corn leaves. This all-trained model could be an effective solution for early disease detection in future corn plantations.
Co-Authors . Roslidar Agustinsa, Ringki Ahmad Fudholi Alif Yanuar Zukmadini Andik Purwanto Andria, Agus Anita Setya Rahayu anjelie, Anggi Annisa Apriani Widya Ningsih Arianto, Dian Ariefa Primair Yani Ariefa Primairyani, Ariefa Bambang Sugiarto Banowati, Lies BHAKTI KARYADI Budi Mulyati, Budi Chitraningrum, Nidya Dedy Hamdani Defianti, Aprina Difa, Irma Oktiara Dwi Afni Maileni, Dwi Afni Efendi, Kurniawan Eka Bertuah Ekaputri, Rendi Zulni Eko Risdianto Eko Swistoro Eladira, Eladira Erwin, Iwan Muhammad Fadhila, Annisa Fadhilah, Annisa Alya Faisal, Rizki Farishi, Salman Hanis Destrini Henny Johan Herdiana, Dina Heryanto, Medi Hutabarat, Naftalia Artaria Hutasoit, Ispandir Ichsan Kurnia Saputra Irwan Koto Irwan Koto, Irwan Islamy, Fajrul Jaulim Sirait Kelvin, Edwar Laras Mitra Parayogi Lisantia, Risky Novi Mahayani, Ni Kadek IDN Mika Dwi Permata Muchtar, Kahlil Muhammad fauzan Munzir, T. Nirwana . Nirwana Nirwana Nirwana, Nirwana Novi Ade Suryani Novita Darma Anggraini Nur Hidayah Nursa'adah, Euis Nyoman Rohadi Octavianti, Dwi Putri Parlindungan, Deni Pramesti, Adelia Widya Pranitasari, Diah Prawira, Andika Pristika Handayani Putra, Rian Rusmana Putri, Desy Hanisa Putri, Okta Rahma Puyanti, Puyanti Rahayu Gustika Rahmat Kurniawan Riska Novialni, Riska Rizki Tri Anugrah Bhakti Ronggo Waskito, Jefri Sabrina, Hesti Saputra, Huzair Sari, Kezia Eka Sawaluddin Siregar Setianingsih, Ratna Sumandiarsa, I Ketut Sutarno Sutarno Sutarno Sutarno, M Syahputri, Yuni Syaiful Rochman Syarif Hidayat Tri Novianti, Tri Uliyandari, Mellyta USWATUN HASANAH Vijay Amar Wage Klaudhi Sintya Wardana, Rendy Wikrama Wardani, Dian Wiris Woro Wenda Dwi Meilesri Yesy Oktalia Yulisa, Putri Dwi Yusniar Lubis