A Review of Smart Fish Farming Systems

Mustafa, Faizan; Bagul, Awangku Hassanal Bahar Pengiran; Senoo, Shigeharu; Shapawi, Rossita

doi:10.3153/jaefr16021

Cited by 24 publications

(13 citation statements)

References 5 publications

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“…There is great concern about the potential environmental effects of marine finfish cages on the water quality [155] and a large interest in developing an ecologically responsible industry [156,157]. Several reviews [158] have broadly addressed this topic [159][160][161].…”

Section: Monitoring Applied To Aquaculture and Fishery Productionsmentioning

confidence: 99%

Management and Sustainable Exploitation of Marine Environments through Smart Monitoring and Automation

Glaviano

Esposito

Cosmo

et al. 2022

JMSE

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Monitoring of aquatic ecosystems has been historically accomplished by intensive campaigns of direct measurements (by probes and other boat instruments) and indirect extensive methods such as aero-photogrammetry and satellite detection. These measurements characterized the research in the last century, with significant but limited improvements within those technological boundaries. The newest advances in the field of smart devices and increased networking capabilities provided by emerging tools, such as the Internet of Things (IoT), offer increasing opportunities to provide accurate and precise measurements over larger areas. These perspectives also correspond to an increasing need to promptly respond to frequent catastrophic impacts produced by drilling stations and intense transportation activities of dangerous materials over ocean routes. The shape of coastal ecosystems continuously varies due to increasing anthropic activities and climatic changes, aside from touristic activities, industrial impacts, and conservation practices. Smart buoy networks (SBNs), autonomous underwater vehicles (AUVs), and multi-sensor microsystems (MSMs) such as smart cable water (SCW) are able to learn specific patterns of ecological conditions, along with electronic “noses”, permitting them to set innovative low-cost monitoring stations reacting in real time to the signals of marine environments by autonomously adapting their monitoring programs and eventually sending alarm messages to prompt human intervention. These opportunities, according to multimodal scenarios, are dramatically changing both the coastal monitoring operations and the investigations over large oceanic areas by yielding huge amounts of information and partially computing them in order to provide intelligent responses. However, the major effects of these tools on the management of marine environments are still to be realized, and they are likely to become evident in the next decade. In this review, we examined from an ecological perspective the most striking innovations applied by various research groups around the world and analyzed their advantages and limits to depict scenarios of monitoring activities made possible for the next decade.

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Section: Monitoring Applied To Aquaculture and Fishery Productionsmentioning

confidence: 99%

Management and Sustainable Exploitation of Marine Environments through Smart Monitoring and Automation

Glaviano

Esposito

Cosmo

et al. 2022

JMSE

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“…Investing in smart aquaculture-by application of modern mar-• vels such as artificial intelligence and robotics. Initiative taken at our institute in this area by Mustafa et al (2016) [20] serve as an example.…”

Section: Priority Topics For Problem-solving Researchmentioning

confidence: 99%

Aquaculture Sustainability: Multidisciplinary Perspectives and Adaptable Models for Seafood Security

2017

J Fish Aquac Dev

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Contribution of aquaculture to global food security has increased significantly, especially after the realization that the capture fisheries have approached their maximum take and the land-based farming systems are facing serious constraints. Aquaculture should pursue the sustainable development goals to be able to deliver the expected supplies. It can do so by bringing about transformations consistent with the principles of sustainable development. Aquaculture influences the oceans and their ecosystem services negatively as well as positively, depending on the pathways of its development. It is pertinent to highlight the implications of both these impacts and present specific case scenarios that provide evidence of how the ecological aquaculture can benefit the environment, society and economy. Success of such aquaculture models can be measured through sustainability indicators. This paper elaborates these issues while providing an account of the role of aquaculture in food security.

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“…Similar beliefs are expressed in the EU's AI Strategy and national AI strategies. In such concerted politics of AI, AI is presented as the benign force that, amongst other things, solves ecosystem problems [6].…”

Section: Introductionmentioning

confidence: 99%

“…The smart fishery literature of the past decade has made great headway in increasing our understanding of the workings of AI technologies in fish farming, particularly focusing on specific aspects of optimizing the efficient use of resources in ecosystem management [2,6]. In this paper we perform a systematic literature review to reconstruct the state-of-the art of the smart fishery literature, with the deliberate aim of finding out in what ways AI is embedded in the scientific field of sustainable fishery.…”

Section: Introductionmentioning

confidence: 99%

Smart Fishery: A Systematic Review and Research Agenda for Sustainable Fisheries in the Age of AI

2021

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Applications of artificial intelligence (AI) technologies for improving the sustainability of the smart fishery have become widespread. While sustainability is often claimed to be the desired outcome of AI applications, there is as yet little evidence on how AI contributes to the sustainable fishery. The purpose of this paper is to perform a systematic review of the literature on the smart fishery and to identify upcoming themes for future research on the sustainable fishery in the Age of AI. The findings of the review reveal that scholarly attention in AI-inspired fishery literature focuses mostly on automation of fishery resources monitoring, mainly detection, identification, and classification. Some papers list marine health and primary production which are vital dimensions for Large Marine Ecosystems to recycle nutrients to sustain anticipated production levels. Very few reviewed articles refer to assessing individual needs, particularly fishers, from AI deployment in fisheries and policy response from governments. We call for future AI for sustainable fishery studies on how fishers perceive AI needs, and how governments possess a tangible strategy or depth of understanding on the regulation of AI concerning smart fishery systems and research on resilience-enhancing policies to promote the value and potentials of the AI-inspired smart fishery in different locations.

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A Review of Smart Fish Farming Systems

Cited by 24 publications

References 5 publications

Management and Sustainable Exploitation of Marine Environments through Smart Monitoring and Automation

Management and Sustainable Exploitation of Marine Environments through Smart Monitoring and Automation

Aquaculture Sustainability: Multidisciplinary Perspectives and Adaptable Models for Seafood Security

Smart Fishery: A Systematic Review and Research Agenda for Sustainable Fisheries in the Age of AI

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