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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Simetris Prosiding SNATIF SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Teknologi Informasi dan Ilmu Komputer CESS (Journal of Computer Engineering, System and Science) PROSIDING SENATEK FAKULTAS TEKNIK UMP R.E.M (Rekyasa Energi Manufaktur) Jurnal JOIV : International Journal on Informatics Visualization INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Network Engineering Research Operation [NERO] JITK (Jurnal Ilmu Pengetahuan dan Komputer) Multitek Indonesia : Jurnal Ilmiah KOMPUTEK JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Journal of Computer Networks, Architecture and High Performance Computing Journal of Computer, Electronic, and Telecommunication (COMPLETE) Insyst : Journal of Intelligent System and Computation Indonesian Journal of Networking and Security - IJNS Jurnal Abdimas Dosma SinarFe7 Abdimas Indonesian Journal Jurnal Pengabdian Masyarakat Bangsa Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Pengabdian Kepada Masyarakat Bersinergi Inovatif Jurnal Abdimas Dosma Journal Information System and Computer Application KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Fauzan Masykur
Universitas Muhammadiyah Ponorogo
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Journal : JOIV : International Journal on Informatics Visualization

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Yolo-Drone: Detection Paddy Crop Infected Using Object Detection Algorithm Yolo and Drone Image Masykur, Fauzan; Prasetyo, Angga; Zulkarnain, Ismail Abdurrozaq; Kumalasari, Ellisia; Utomo, Pradityo
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.3472

Abstract

Crop failure is an undesirable result of rice planting for every farmer because it disrupts the economic stability of the family. One of the factors of crop failure in the rice planting process is the disease attack factor, which causes infection. Infected plants will interfere with the growth of rice, not optimally, because the green leaf substance, which is key to processing sunlight's nutrients, is unable to function. After all, it is covered by infection. Infection in the leaves covers the green leaf substance, or chlorophyll, so that the leaves are unable to absorb nutrients from sunlight. This problem is a separate concern in overcoming rice plant infections, which will result in crop failure. This paper discusses the detection of infected rice plants, particularly leaf infections, using drone camera images. Unmanned aircraft, also known as drones, fly above rice fields to capture images of rice plants, which are then used as datasets in training models to detect infected and healthy rice plants. The detection of disease presence in rice leaves is carried out using the You Only Look Once version 8 (YOLOv8) object detection algorithm, with a model trained using Google Colab Pro+. The results of training the model to detect healthy and infected plant leaves are the primary objectives of this study. The YOLOv8 object detection model, when applied to detect rice plants with two classes (healthy and infected), shows quite good results. This is indicated by the recall, precision, and F1-score values (0.99, 0.814, 0.90) approaching 1 in all classes.
Co-Authors ., Sugianti Adi Fajaryanto Adi Fajaryanto Cobantoro Adi Fajaryanto Cobantoro Ali Mahmudi Ali Mahmudi Aminuddin, Wildan Muhammad Andy Triyanto Angga Prasetyo Angga Prasetyo Aprilia Cahyanti Arief Rahman Yusuf Arief Rahman Yusuf Astuti, Arin Yuli Beni Yulio Eka Pratama Cobantoro , Adi Fajaryanto Cobantoro, Adi Fajaryanto Cobantoro, Adi Fajaryanto Desriyanti Devi Kartikasari Eahyu Oktavian, Elang Efi Mukaromah Eka, Novie Ellisia Kumalasari Fajaryanto Cobantoro, Adi Fajaryanto, Adi Fredin Rimba Saputra Ghulam Asrofi Buntoro Ibnu Makruf Pandu Atmaja Indah Puji Astuti Indah Puji Astuti Irfan Agung Nugroho Jamilah Karaman Karaman, Jamilah Karaman, Lazuardi Irham Kelik Sussolaikah Khoiru Nurfitri Kuntang Winangun Kuntang21 Kuntang21 M. Malyadi Makruf Pandu Atmaja, Ibnu Miftakhul Arifin Mohammad Bhanu Setyawan Mohammad Bhanu Setyawan Mohammad Rizqi Rosyadi Muhamad, Fikri Muhammad Furqon Fadli Muhammad Malyadi nabila solihin zaelani, bintang muhammad Novi Indah Riani Novia Anggraini Pradityo Utomo Prasetiyowati, Fiqiana Prasetyo, Angga Rendy Cahyono Reza Risky Khamdani Rido Muhamad Nasrudin Riyanto, Didik Rizqi Rosyadi, Mohammad Roikhatul Jannah Setyawan, Moh. Bhanu Sugianti Sugianti, Sugianti Sulthon Habiby, Jawwad Sumaji Trisnadi Putra, Wawan Wawan Trisnadi Putra Windy Octavia Yofhi, Yofhi Fauda Pradana Yovi Litanianda Yovi Litanianda, Yovi Yulio Eka Pratama , Beni Yusuf, Arief Rahman Zulkarnain, Ismail Abdurrozaq Zulkarnain, Ismail Abdurrozzaq Zulkarnain, Ismail Abdurrozzaq