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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ekonomi Pembangunan Al-Iqtishad : Jurnal Ilmu Ekonomi Syariah (Journal of Islamic Economics) Journal of Economics, Business, & Accountancy Ventura EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis JOIV : International Journal on Informatics Visualization Acta Aquatica: Aquatic Sciences Journal Jurnal SOLMA JURNAL PENDIDIKAN TAMBUSAI Jurnal STIE Semarang (Edisi Elektronik) JAVA Journal of Electrical and Electronics Engineering Al-Kharaj: Journal of Islamic Economic and Business Studi Kasus Inovasi Ekonomi Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal Ilmu Ekonomi Jurnal Perspektif Pembiayaan dan Pembangunan Daerah Tsaqofah: Jurnal Penelitian Guru Indonesia Sewagati Jurnal Mahasiswa Entrepreneur Journal of Economic and Social Empowerment JUMBA Jurnal Manajemen, Bisnis, dan Akuntansi Ophthalmologica Indonesiana Krinok: Jurnal Pendidikan Sejarah dan Sejarah dharma wiyata
Hendra Kusuma
Jurusan Ilmu Ekonomi dan Studi Pembangunan Fakultas Ekonomi dan Bisnis Universitas Muhammadiyah Malang
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Journal : JOIV : International Journal on Informatics Visualization

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Optimizing YOLOv8 for Enhanced Melon Maturity Detection with Attention Mechanisms: A Case Study from Puspalebo Orchard Umar, Ubaidillah; Sardjono, Tri Arief; Kusuma, Hendra; Yani, Mohamad; Widyantara, Helmy
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.2942

Abstract

Enhancing fruit maturity detection is crucial in the agricultural industry to ensure product quality and reduce post-harvest losses. However, commonly used maturity detection methods still rely on human visual inspection, which is prone to errors and assessment variability. Challenges like lighting variations, complex backgrounds, and diverse environmental conditions often complicate accurate and efficient detection. This study aims to develop and evaluate an optimized YOLOv8 model with attention mechanisms to detect melon maturity. The dataset was obtained from Puspalebo Orchard in East Java, Indonesia, comprising over a thousand melon images divided into three subsets: 70% for training, 20% for validation, and 10% for testing. The YOLOv8 model was modified to support the integration of attention mechanisms to enhance focus on significant features and detection accuracy. Data augmentation techniques were applied to capture environmental condition variations, improving the model's robustness. Evaluation on the validation subset showed a precision of 0.979 for all classes, recall of 0.962, mAP@50 of 0.981, and mAP@50-95 of 0.941. The model also demonstrated high efficiency for real-time applications with a preprocessing time of 0.1ms, inference time of 0.9ms, and post-process time of 0.9ms per image. The results of this study show advantages in detection detail, adaptability, and real-time efficiency compared to other studies in the past five years. Some weaknesses were identified, such as implementation complexity and the need for a large dataset. The developed YOLOv8 model improves melon maturity detection performance, offering a more accurate, efficient, and adaptive solution for the agricultural industry.
Co-Authors . Mansyurdin Adi Suprijanto Ahmad Rifai Andika Irawan, Dhyan Anggun Sophia Aris Soelistyo Armada, Dhani Aryanti, Pia Asful, Ferdhinal Ashrifurrahman, Ashrifurrahman Asmoro, Wiwiek Kusumaning Atiana, Sofyetin Bunga, Nurrabia Dharma, Rendra Adi Dhisti Wafiq Fahira Hany dina, nur Dinarso, Rahmat Cahyo Dini Ermavitalini Eka Iskandar Elang, Elang Mulya Maulana Elisa, Tasya Putri Pratama Eriza, Mas Fadhlan, Adli Fathihani Fitri Rusdianasari Hafrijal Syandri Hanggondosari, Sri Utami Happy Febrina Hariyani Harris Pirngadi Helmy Widyantara Henny Herwina I Gusti Agung Komang Diafari Djuni Hartawan Idah Zuhroh Irfansyah, Astria Nur Iskandar, Deden Jaenal Arifin Karimi, Kasman Khoirul Anwar khusnul khotimah Kristiyanto, Risky Kumala, Marissa Mutiara Kurniawati, Syela Lila Yuwana Mairawita, Mairawita Maliza, Rita Mantika, Ade Ana Mardijani, Prastiwi Merri Anitasari, Merri Mildawati Mildawati Moh. Yani Mubin, Mohammad Nasrul Muchamad Arifin Muhammad Rivai Muhammad Sri Wahyudi Suliswanto Muthalip, Andre Raditya Nabila, Sylvia Nabilah, Aisyah Najibah Nofrita Nofrita Nugraha, Yanuar Eka Nurul Qomariah Pertiwi, Vera Pinandita, Candra Pramula Prajna, Arnold Purwanda, Indah Purwanti, Yuli Rahmi Yuliana Rini Sulistiyowati Ritonga, Muhammad Azli Riyanah Riyanah, Riyanah Rudi Haryono, Rudi Rudy Dikairono Salsabilla, Alda Shakira Samhan, Dzulfikar Ahmad Setyo Wahyu Sulistyono Solfiyeni Solfiyeni Sujono Sujono, Sujono Surya, Rahadiyan Suwito Suwito Syabila, Hutri Dinda Tasripan Tri Arief Sardjono Ubaidillah Umar, Ubaidillah Vera Pujani Wahyu Ramadani Arrohim, Novi Wirawan Wirawan Zainal Arifin