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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Robotics and Automation (IJRA) IAES International Journal of Artificial Intelligence (IJ-AI) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Journal of ICT Research and Applications JUITA : Jurnal Informatika MUSTEK ANIM HA Scientific Journal of Informatics JOIV : International Journal on Informatics Visualization Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SISFOTENIKA Wikrama Parahita : Jurnal Pengabdian Masyarakat IT JOURNAL RESEARCH AND DEVELOPMENT JURNAL REKAYASA TEKNOLOGI INFORMASI SINTECH (Science and Information Technology) Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi MIND (Multimedia Artificial Intelligent Networking Database) Journal KOMPUTIKA - Jurnal Sistem Komputer TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Building of Informatics, Technology and Science JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Informatika dan Rekayasa Elektronik Journal of Innovation Information Technology and Application (JINITA) Infotek : Jurnal Informatika dan Teknologi Jurnal Teknologi Informatika dan Komputer SKANIKA: Sistem Komputer dan Teknik Informatika Innovation in Research of Informatics (INNOVATICS) Jurnal Teknik Informatika (JUTIF) Jurnal PTI (Jurnal Pendidikan Teknologi Informasi) Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Transformasi Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer JOMPA ABDI: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Data Sciences Indonesia (DSI) Jurnal Masyarakat Madani Indonesia Journal Of Artificial Intelligence And Software Engineering Jurnal INFOTEL Journal of Computer Science and Information Technology Inovasi Teknologi Masyarakat Jurnal Pengabdian Siliwangi International Journal of Applied Mathematics and Computing. Journal of Soft Computing Exploration
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Journal : Journal of Soft Computing Exploration

Comparative of YOLOv5 and YOLOv8 for rice leaf disease detection on diverse image datasets Fadhillah, Muhammad Nandaarjuna; Septiarini, Anindita; Hamdani; Rajiansyah; Andi Tejawati
Journal of Soft Computing Exploration Vol. 7 No. 1 (2026): March 2026
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v7i1.19

Abstract

Rice (Oryza sativa) is Indonesia’s primary food crop, yet its productivity is often threatened by leaf diseases such as Brownspot, Hispa, and Sheath Blight. To address the limitations of manual inspection, this study proposes an automated detection and classification framework based on deep learning, with a comparative evaluation of the YOLOv5 and YOLOv8 models. This study is novel in that it assesses the robustness of models across a variety of data sources, such as a public dataset collected under controlled conditions and a private dataset collected in the field that replicates real-world agricultural contexts. The experimental results suggest that YOLOv8 consistently outperforms YOLOv5 in a variety of evaluation metrics. YOLOv8 performed best on the private dataset, with a precision of 0.907, recall of 0.886, F1-score of 0.896, Intersection over Union (IoU) of 0.71, and mAP50 of 0.924 under the 90:5:5 data split configuration. It shows that it can detect things well even in difficult field conditions. Both models performed about the same on the public dataset; however, YOLOv8 was better at finding objects, as shown by higher mAP50–95 values. Both models also did a great job of classifying; however, YOLOv8 was better at generalising across different dataset distributions. These results demonstrate that YOLOv8, which operates without anchors, is a superior and more dependable method for the real-time detection of rice leaf disease. This study offers pragmatic insights for implementing advanced computer vision models in precision agriculture systems, particularly in resource-constrained, dynamic agricultural environments.
Benchmarking mobileNetV3 and efficientNet-B0 for corn leaf disease classification with imbalanced dataset using stratified cross-validation Alfarizal, Muhammad Shandy; Saputra, Muhamad Kelvin; Kurniawan, Ade Fajar; Fadhil, Khanahaya Adriano; Septiarini, Anindita; Puspitasari, Novianti
Journal of Soft Computing Exploration Vol. 7 No. 2 (2026): June 2026
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v7i2.30

Abstract

Corn leaf diseases pose a serious threat to crop productivity, yet most publicly available datasets for this task exhibit severe class imbalance that can mislead conventional accuracy-based evaluation. This study benchmarks two lightweight transfer learning architectures, MobileNetV3-Large and EfficientNet-B0, for multi-class corn leaf disease classification on the Seasonal Corn Leaf Disease Dataset from Mendeley Data 2025 containing 2,943 images across five imbalanced classes. Evaluation was conducted using Stratified 5-Fold Cross-Validation with Macro-F1 as the primary metric, complemented by per-class analysis through aggregated out-of-fold predictions. Class weights were applied to the CrossEntropyLoss function as a fixed experimental control for class imbalance, with the primary objective being the benchmarking of the two architectures rather than the comparison of imbalance-handling strategies. The experimental results revealed that EfficientNet-B0 consistently outperformed MobileNetV3, achieving a Macro-F1 of 0.9778 and an accuracy of 0.9796 with lower variance across folds. Error analysis through the OOF confusion matrix and a misclassification gallery confirmed that persistent errors predominantly occurred between Gray Leaf Spot and Healthy classes, particularly on early-symptom images captured under inconsistent lighting conditions.
Co-Authors Abdul Razak Aliudin Achmad Solichan Adi Muhammad Syifai Adnan, Fahrizal Afifah, Dinda Nur Agus Qomaruddin Munir AHMAD ANSYORI Ahmad Nur Fauzan Ajay, Muhammad Akhmad Masyudi Alameka, Faza Alfarizal, Muhammad Shandy Alif Rifa’i Alvito Gabbriel Saputra Amalia, Syaffira Rizky Ambari, Nasser Ambon, Matelda Yunanta Andri Syafrianto Anggari, Ricky Annisa Putri Novalianti Anton Prafanto Antonieta Aryuka Paskalia Nggotu Ardi Setyiawan ARIF HIDAYAT Arini Wijayanti Asmita, Rizka Aulia Rahman Awang Harsa Kridalaksana Awang Zheri Rhesvianur Az Zahrah, Rezha Nur Azzahra, Raudhya Bandhaso, Victor Briyan Efflin Syahputra Budi Rahmani Budiman, Edy Cakra Dewandaru Christy Maulidiah Daffa Putra Mahardika Didit Suprihanto, Didit Dwi Prasetio Dyna Marisa Khairina Edy Winarno Eka Priyatna, Surya Enny Itje Sela Ery Burhandenny, Aji Ery Burhandeny, Aji Evi Wildana Fadhil, Khanahaya Adriano Fadhillah, Muhammad Nandaarjuna Fahrozi, Muhammad Naufal Fairil Anwar Fajri, Muhamad Mushfa Hikmatal Fandi Alief Al Akbar Fathia Nuq Qamarina Fauzan, Ahmad Nur Fayza Virdana Addiza Firyal, Tasya Nadina Fornia, Daviana Dwitasari Enka Fuad, Natalie Gempar Panggih Dwi Gideon Simalango, Yanuar Gunawan, Ayu Lestari Hairah, Ummul Hairah, Ummul Hakim, Muhammad Irvan Hamdani Hamdani . Hamdani Hamdani Hamdani Hamdani Hamdani Hamdani Hamdani Hamdani Hanif, Ahmad Luthfi Hariyanto Hatta, Heliza Rahmania Haviluddin Haviluddin Haviuddin, Haviluddin Heliza Hatta Heliza Rahmania Hatta, Heliza Rahmania Henderi . Heni Sulastri Heru Ismanto Hidayat, Ahmad Nur Hutagalung, Wilson Boyaron Hutapea, Vedra Dian Sierrafina Ibnu Amri Thaher Ifnu Umar Indah Fitri Astuti Indah Wulan Lestari Irfan, Aliya Kalingga Dwindra Putraka Kamila, Vina Zahrotun Kiki Purwanti Kurniawan, Ade Fajar Laraswati, Sherina Lempas, Gidion Lili, Juniver Veronika M. Rizky Nilzamyahya Maharani, Agustina Dwi Mahendra, Dicky Alvian Masa, Amin Padmo Azam Masna Wati Masyudi, Akhmad Maya Agustina Medi Taruk Mewengkang, Alfrina Muhamad Azhari Muhammad Abdillah Muhammad Abdillah Muhammad Andas Lesmana Muhammad Dzacky Muhammad Ifandi Muhammad Nur Ramadhan Muhammad Sofian Sauri Mu’nisah Assisi Nanda Arianto Nathaniela Aptanta Parama Nggotu, Antonieta Aryuka Paskalia Novianti Puspitasari Nupa, Joy Disanto Nur Madia Nurcahyono, Damar Nurhidayat, Rifki Nurmadewi, Dita Olivia Octavia Padmo Azam Masa, Amin Patricia Chandra Pebianoor, Pebianoor Prafanto, Anton Pramudya, Pranata Eka Pratiwi, Sinthya Ayu Puspitasari, Novianti Puspitasari, Novitanti Putra Ramdani, Aditya Putri, Septi Aulia Rafi Ichsanul Iqbal Rahmat Kamara Raihanfitri Adi Kalipaksi Rajiansyah Rajiansyah, Rajiansyah Ramadhaniaty, Dinda Reski Harisma Dewi Barkah Reviansa Fakhruddin Aththar Risky Kurniawan Riswandi Syam Rita Diana Riyayatsyah, Riyayatsyah Rizqi Saputra Rohman, Reisa Maulidya Rondongalo Rismawati Rosmasari, Rosmasari Sadewa, Bintang Putra Saipul, Saipul Sakti, Dwi Nika Salsabila, Nur Maya Saputra, Muhamad Kelvin Saragih, Muhammad Nabil Sarira, Brayen Tisra Satria Bagus Eka Chandra Saucha Diwandari Setiawan, Maulana Agus Sihombing, Yobel Fernanda Sitania, Farida Djumiati Siti Retno Wulandari Sugandi Sugandi Sumaini Sumaini Supriyono Supriyono Supriyono Supriyono Syaffira Rizky Amalia Taruk, Medi Tejawati, Andi Theresia Amelia Pawitra Tulili, Hadie Pratama Ummul Hairah Vicky Pranandika Wijaksana Viny Christanti M Wahyudi, Moh Ikhwan Wati, Masna Wibisono, Bramantyo Ardi Harimurti Widians, Joan Angelina Wintin, Chintia Liu Wiwien Hadikurniawati Yanuar Satria Gotama Yasmin, Annisa Yudi Sukmono, Yudi Yuyun Nabilawati Rumbia zahra salsabila Zainal Arifin