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Journal : Journal of Fisheries

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Assessment of Fish Floating Net Cage Conditions Using ROV and Deep Learning Algorithms Lestari, Nurhaliza Amalia; Jaya, Indra
Jurnal Ilmiah Perikanan dan Kelautan 2026: JIPK VOLUME 18 ISSUE 2 YEAR 2026 (JUNE 2026, ISSUE IN PROGRESS)
Publisher : Faculty of Fisheries and Marine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jipk.v18i2.85796

Abstract

Graphical Abstract Highlight Research 1. This study demonstrates the successful use of a self-developed Remotely Operated Vehicle (ROV) to acquire underwater imagery for monitoring floating net cage conditions without the need for manual diving. 2. The integration of ROV-based image acquisition with deep learning classification using the YOLOv8 model achieved high accuracy in identifying different levels of net fouling under real aquaculture field conditions. 3. The results show that classification performance decreases as the number of fouling classes increases, influenced by visual similarity between classes, environmental variability, and limited image distribution. 4. The proposed approach provides an effective, non-invasive, and practical monitoring solution that supports timely maintenance decisions and contributes to more sustainable management of floating net cage aquaculture systems.   Abstract Monitoring the condition of floating net cages (FNC) is essential for maintaining water circulation, dissolved oxygen availability, and overall fish health in aquaculture systems. However, FNC-based aquaculture commonly faces the problem of biofouling accumulation, including barnacles, algae, sediment, dirt, and solid waste, which gradually obstruct water flow and reduce cage performance. This study aimed to develop an automated method for classifying floating net cage fouling conditions by integrating a self-developed remotely operated vehicle (ROV) with deep learning–based underwater image classification. Underwater monitoring produced 7,156 extracted image frames, which were processed through image selection and white balance color correction. A total of 741 images were used to train a YOLOv8 model under three classification schemes, namely 2-class, 3-class, and 6-class classifications. The results demonstrated high classification performance across all schemes, with accuracy values of 100% for the 2-class model, 99% for the 3-class model, and 98% for the 6-class model. These findings indicate that integrating ROV-based image acquisition with deep learning classification provides an effective approach for assessing floating net cage conditions, enabling timely maintenance, improving monitoring efficiency, and supporting better environmental management in aquaculture systems. Future studies are encouraged to expand the dataset size and environmental variability to further enhance model robustness.
Co-Authors Abdul Hadi Achyar, Novriyanti Adi Wibowo Afrianto, Fajar Afriyanto, Fajar Agustin, Nia Al Ali Daulay, Al Bisilla Al Supandi, Nur Muhammad Tirta Weuning Amiruddin Siahaan Anas, Nirwana Anshoriningsih, Tresnani Antonius Bambang Wijanarto Appe Hutauruk Aprihen, Roma Asani, Yesi Asep Priatna Asri, Widya Astika, Mella Azahra, Sabillah Bahrudin Bahrudin Bambang Setiaji Barasa, Nuryustina Budhi Hascaryo Iskandar Budianto Budianto Cahyaningtias, Erya Risti Eka Chantika, Hernita Dalimunthe, Siti Nur Annisyah Delfi Eliza Deny Sapto Chondro Utomo Derry Wiliyanda Nasution Deswati, Ratih Dewi, Ratna Sri Diah Zakiah Dina, Hasniah Elmeida Effendy Eries Dyah Mustikarini Erlina Erlina Ermita Ermita Erwin, Yulias Eva Zulisa Fahmi, Muhammad Rafly Amanullah Fani, Rifia Tiara Farani, Sabrina Cinta Febrinola, Elwita Fety, Yulli Firdausi, Hilma Nahwa Firmansyah Firmansyah Fitri, Rahma Dalila Gea Geby Aurora Syafridon Hadiyanto Hadiyanto Hakim, Isra Al Harahap, Muthiah Putrilan Hendi Santoso Hendri Budi Utama Henry Munandar Manik Hestirianoto, Totok Husna, Atina Ibnu Sofian, Ibnu Indah Lestari, Indah Indriastuti, Desy Indryani Intan, Angel Sophia Irma Irman Hermadi Islamy, Fajrul Ismail Husein, Ismail Jumailiyah, Jumailiyah Junaidi, Muhamad Kadri, Hanif Al Kaisinda, Farhan Juliputra Karlisa Priandana Karo-Karo, Isran Rasyid Karsinah - Kasirah, Irah Kirara, Sindy L Simanungkalit, Robert Lalan Erlani Larasati, Nandita Pramilia Lestari, Nurhaliza Amalia Lianty, Leliana Linda Zakiah Litaay, Dr. Christina Luthfiani, Luthfiani M Amin, M M. Marthoenis Mahfud Palo Maisyaroh Marlinda Marlinda Marty Mawarpury Maryawi, Ratna Maulidina, Citra Ashri Mohammad Arif Taboer Muhammad Afif MUHAMMAD ALI Muhammad Iqbal Muhammad Nawawi Muhammad Reza Cordova, Muhammad Reza Mukhlis Mukhlis Mulya Fitranda Murni Winarsih Mutia, Dea Nasution, Wahyuddin Nur Nelitawati, Nelitawati Nellitawati Nellitawati ngainul faidah Ngenget, Indiana Nugroho, Bimo Aji Nurbiana Dhieni Nurhalisa, Alifia Adibila Nurhidayah, Josanti Nurhizrah Gistituati Nurjannah S Oktari, Sheliyana Cahya Parluhutan Sagala Pratama, Hadimas Bakti Pratama, Xavercius Cezar Purba, Rolita Christina Putri, Deliza Putri, Frilianty Putri, Rini Sahni Radhiyya, Hana Rabby Radja, Anggrek Citadika Ratu Rahmadhani, Suci Rahmat, Ayi Raudhatul Jannah Repelita, Tridays Ridho, M. Ali Rifka Amelia, Childina Rifma Rifma Rini Nuraini, Rini Riski Maulana, Riski Rizki, Rahmat Rohayu H, Rina Rohmah Ageng Mursita, Rohmah Ageng Rompas, Jopie Tommy Rosa, Vita Amalia Rumainur, Rumainur Ryandika Afdila, Ryandika S, Nurjannah Salim Salim Samosir, Maria Febriyanti Saputra, Deni Eka Saputra, Rizqy Hadi Septrasari, Nabila Setiawan, Williandi Shaliha, Hafidha Ahma Sihite, Rumondang Simanungkalit, Robert L. Sri Nurdiati Sri Pujiyati Sufyarma Marsidin Suhadi AR, Muhammad Suhandri, Wiwin Suhengki, Gemma Cahya Hafifah Suhengki Sulastri Sulastri Sulistiani, Supia Sumbayak, Rani Fransiska Saragih Suprayoga, Tito Syahrizal Siregar, Syahrizal Syamsul Bahri Agus, Syamsul Bahri Taberima, Victor Arthur Taboer, M. Arif Tanjung, Adelia Wulandari Tefsele, Kristian Thomas Tri Lestari Triawan Alkausar Tridianto, Ari Ulfi, Nur Alifah Viani, Dwi Okta Vincentius P Siregar Wahyul Amien Syafei Wedra Aprison Wini - Trilaksani Yarmi, Gusti Yoserizal Yoserizal Yosi Wulandari Yulia Putri Yulianti, Elvi Yusup, Maulid Wahid Zahra, Zulfa Zakiah, Debita Zakiyah, Diah Zamroni, Anisa Dwi Kurnia Zuhdi, Hanif Naufal