IJA_2024v14n4

International Journal of Aquaculture, 2024, Vol.14, No.4, 195-210 http://www.aquapublisher.com/index.php/ija 202 Table 2 Research papers used for this study Title Years Authors Advances in geographic information systems and remote sensing for fisheries and aquaculture 2013 Meaden and Manj arrez Remote fish aquaculture monitoring system based on wireless transmission technology 2014 Sung, Chen and Wang Advanced application of geospatial technology for fisheries perspective in the Tarai region of the Himalayan state of Uttarakhand 2015 Ingole et al. Automated Monitoring System for the Fish Farm Aquaculture Environment 2015 Chen, Sung and Lin Coping styles in farmed fish: consequences for aquaculture 2015 Castanheira et al. Application of machine vision systems in aquaculture with emphasis on fish: state-of-the-art and key issues 2016 Saberioon et al. A proposed fish counting algorithm, using digital image processing techniques 2017 Aliyu et al. Advances of genotyping-by-sequencing in fisheries and aquaculture 2017 Li andWang Applications of next-generation sequencing in fisheries research: a review 2017 Kumar and Kocour Intelligent feeding control methods in aquaculture with an emphasis on fish: a review 2017a Zhou et al. Near-infrared imaging to quantify the feeding behaviour of fish in aquaculture 2017b Zhou et al. IoT-based automated fish farm aquaculture monitoring system 2018 Saha, Rajib and Kabir Near-infrared computer vision and neuro-fuzzy model-based feeding decision system for fish in aquaculture 2018 Zhou et al. How emerging data technologies can increase trust and transparency in fisheries 2019 Probst Innovations and digital transformation of the Russian fishery complex 2019 Kharin, Kuzin and Mnatsakanyan A secure fish farm platform based on blockchain for agriculture data integrity 2020 Hang, Ullah and Kim Automatic recognition methods of fish feeding behaviour in aquaculture: a review 2020 Li et al. Genomes of major fishes in world fisheries and aquaculture: status, application and perspective 2020 Lu andLuo Intelligent monitoring and control technologies of open sea cage culture: a review 2020 Wei, Wei and An Prospects and opportunities for the introduction of digital technologies into the aquaculture governance system 2020 Gorbunova et al. Technological applications and adaptations in aquaculture for progress towards sustainable development and seafood security 2020 Mustafa et al. Application of machine learning in intelligent fish aquaculture: a review 2021 Zhao et al. Aquaculture in Brazil: past, present and future 2021 Valenti et al. Computer vision models in intelligent aquaculture with emphasis on fish detection and behavior analysis: a review 2020 Yang et al. Digitalization in the context of solving ecosystem problems in the fishing industry 2021 Mnatsakanyan and Kharin An overview of disruptive technologies for aquaculture 2022 Yue and Shen AI and IoT-based collaborative business ecosystem: a case in Chinese fish farming industry 2023 Yang et al. Digital transformation on aquaculture in indonesia through efishery 2023 Zainudin et al. The application and research of new digital technology in marine aquaculture 2023 Zhang and Gui The role of digital technologies in supporting and improving fishery and aquaculture across the supply chain-Quo Vadis 2023 Rowan

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