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The aquaculture industry is a booming sector with huge potential but still faces the challenge of feeding an animal since it is an underwater culture where feeding requirement is more complex and tedious every time. If overfeeding happens, the ammonia level in the pond will increase, leading to culture animals' mortality, whereas underfeeding causes slow growth in animals. The primary issue still faced by Aquaculture sector is feeding pattern and its strategy. In other words, the smart Aqua feeders are an actual requirement for every aquaculture farm. In this paper, the design considerations and architecture of smart aquaculture feeders are suggested along with the application of state-of-the-art technologies viz., Machine learning, Artificial Intelligence, Machine vision, etc. This paper provides the detailed survey on the past works related to the feeding strategy and other aforementioned technology application in aquaculture. And, also the conceptual model was developed and its architecture was produced.

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Pradeep Ramesh*

Dept. of Aquacultural Engineering, College of Fisheries Engineering, Tamil Nadu Dr. Jayalalithaa Fisheries University, Nagapattinam, Tamil Nadu (611 002), India

Ayesha Jasmin S.

Puja U. T.

Dharani Shrree R. S.

Mohammad Tanveer

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