AI Based Fish Farm Management System Using Internet of Under Water Things (IoUT)

Abstract

A large population of word dependent on fisheries product to fulfill need of animal protein. The increasing population will require more fish food to fulfill their requirements. In this paper a Robotic fish is presented for fish farm management to increase fish production in fish farms and to provide ease of life to fish farmers. Most of the studies suggested the fish production can be increased in a fish farm or pond if characteristics of water are managed. This robotic fish will be the combination of artificial intelligent system and Internet of underwater things (IoUT). Multiple sensors will be used to measure water quality chemical properties and other parameters of use for fish farmers. Robotic fish will collect these parameters with the help of IoUT system and will send them to cloud database where they will be analyzed and required action will be taken by fish farmers or administrator of system. Robotic fish will also be able to detect health of other fishes, oxygen level in water, food requirements of fishes and size of fishes. Robotic fish will have the feature to monitor tail frequency of other fishes and can change own tail frequency to move with different groups of fishes. This AI based Robotic Fish will help the fish farmers in intelligent control of fish farms.