Application of Artificial Intelligence in Fisheries and Aquaculture
Lloyd Chrispin C.*
Department of Fisheries Extension, Economics and Statistics, Dr. M.G.R Fisheries College and Research Institute, Ponneri (601 204), Tamil Nadu Dr. J Jayalalithaa Fisheries University, Tamil Nadu, India
Jothiswaran V. V.
Institute of Fisheries Biotechnology, Vaniyanchavadi (603 103), Tamil Nadu Dr. J Jayalalithaa Fisheries University, Tamil Nadu, India
Velumani T.
Fisheries Economics, Extension and Statistics Division, ICAR – Central Institute of Fisheries Education, Andheri (West), Mumbai (400 061), Maharashtra, India
Agnes Daney Angela S.
Department of Fisheries Extension, Economics and Statistics, Dr. M.G.R Fisheries College and Research Institute, Ponneri (601 204), Tamil Nadu Dr. J Jayalalithaa Fisheries University, Tamil Nadu, India
Jayaraman R.
Department of Fisheries Extension, Economics and Statistics, Dr. M.G.R Fisheries College and Research Institute, Ponneri (601 204), Tamil Nadu Dr. J Jayalalithaa Fisheries University, Tamil Nadu, India
DOI: NIL
Keywords: Artificial Intelligence, Fisheries, Aquaculture, Digital solutions
Abstract
Artificial Intelligence (AI) by definition means ‘the future made from the pieces of past’. These are programs that learn new solutions through experience. AI has been implemented in a variety of fields starting from agriculture to complete automation in industries. Through AI, fisheries sector can develop rapidly and production can be quadrupled within a short period as it makes aquaculture a less labour intensive field. It can take form of any labourers at work for example feeders, water quality control, harvesting, processing etc. AI can even be used in conserving endangered species of aquatic life forms. AI helps in tracking global fishing activity and helps maintain sustainability in open sea fishery. AI helps greatly in preventing IUU fishing. In aquaculture, wastage of inputs can be managed through AI and cost can be reduced up to 30%. Thus, AI provides complete control over the fish producing systems with less maintenance and reduced input cost.
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Reference
https://theconversation.com/artificial-intelligence-makes-fishing-more-sustainable-by-tracking-illegal-activity-115883
https://thefishsite.com/articles/a-practical-guide-to-using-ai-in-aquaculture
https://marel.com/fish/