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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Sinergi Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JOIV : International Journal on Informatics Visualization Jurnal SOLMA Logic : Jurnal Rancang Bangun dan Teknologi JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian kepada Masyarakat Nusantara Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Informatika: Jurnal Pengembangan IT Scientific Journal of Informatics
Sidiq Syamsul Hidayat, Sidiq Syamsul
Politeknik Negeri Semarang
Aerospace Engineering Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Public Health Social Sciences Other

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Journal : JOIV : International Journal on Informatics Visualization

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Advanced Instance Segmentation of Aeroponics Tissue Culture-Based Seeds Potatoes Based on Improved YOLOv8l-small Avisyah, Gisnaya Faridatul; Kurnianingsih, Kurnianingsih; Hidayat, Sidiq Syamsul
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3085

Abstract

To improve agricultural production, this study develops an advanced instance segmentation system for aeroponic tissue culture-based potato seedlings. We present an IoT system that integrates multiple sensors for humidity, temperature, pH, and turbidity to enable real-time monitoring. Additionally, we adapt the YOLOv8l-small computer vision model, an optimized version of YOLOv8, designed explicitly for efficient potato leaf disease detection and segmentation, even in resource-constrained IoT environments. YOLOv8 is a significant advancement in the YOLO series, for instance, segmentation, combining better accuracy, efficiency, and flexibility. YOLOv8 outperforms previous methods in generating precise segmentation masks while maintaining real-time performance. These innovations make YOLOv8 a robust choice for a variety of computer vision tasks, including instance segmentation, in both research and practical applications. When tested on a custom dataset of potato leaf pictures, the suggested model produced mask mAP50 of 0.842 and mAP50-95 of 0.566, with a model size of 36.1 MB and an inference duration of 9.3 ms. These outcomes are similar to those of the original YOLOv8l model, which had a slower inference time of 11.0 ms and a much larger model size of 92.3 MB, albeit at the expense of a somewhat higher mAP50 of 0.843. The study concludes that the proposed model provides similar accuracy with greater computational efficiency, making it ideal for IoT-based agricultural systems. Future research will explore additional aspects, while practical experiments aim to reduce labor costs.
Co-Authors Abdillah, Umar Fachri Aggie Brenda Vernandez Akhmad Jamaah, Akhmad Amin Syarifuddin Aprilia, Dita Ari Sriyanto Nugroho Arif Nursyahid, Arif Asyari, Rifa Atul Izza Avisyah, Gisnaya Faridatul Budi Basuki Callista, Nada Vania Khansa DWI RAHMAWATI Eddy Triyono Endro Wasito, Endro Eni Dwi Wardihani, Eni Dwi Eriko Arvin Karuniawan Fadhil Fatchun Hasim Fikri Arif Rakhman Firmansyah, Ardi Ghandie Kurnia Widi Hadwi, Sindung Hayuningtyas, Adika Dewi Helmy Helmy, Helmy Heri Bertus Mulyaman Indra, Ragil Tri Irfan Mujahidin Iswanti, Iswanti Kabir, Noer Ni'mat Syamsu Karina Laras Novitasari Kurnianingsih Kurnianingsih, Kurnianingsih Lilik Eko Nuryanto, Lilik Eko M. Cahyo Adi Prabowo Mara, Muhlasah Novitasari Melisa Yufit Lestari Mohammad Faizin Zaini Muhammad Anif Muhammad Luthfi Baihaqi Prabowo, M. Cahyo Adi Prabowo, Muhamad Cahyo Ardi Prabowo, Muhammad Cahyo Ardi Putra, Ivandi Julatha Putri, Farika Tono Rahmalisa Suhartina Rakhman, Fikri Arif Rev. Ariawan Pratomo Riyadi, Aji Hari Sarono Widodo, Sarono Setyoko Setyoko Sindung Hadwi Widi Sasono, Sindung Hadwi Widi Sri Anggraeni sri hardiningsih H.S Sri Wahyuni Subuh Pramono syahid Syahid, syahid Taufiq Yulianto Triyono Triyono Wasono, Adi Wilda Puspa Pratiwi