AI & IoT based Control and Traceable Aquaculture with Secured Data using Blockchain Technology

Abstract

The fish industry is currently thriving on the market. Their farmers are in need of increasing fish production. Fish are grown in contaminated lakes, ponds, and tanks. This environment affects the fish’s health and results in unhygienic fish growth. Water quality is salient to aquaculture and its ability to lead to a favorable outcome. There are many factors that affect water quality, like sedimentation, runoff, erosion, temperature, pH, and decayed fish. Water quality is dependent on various physical-chemical and biological factors that affect it and, as a result, its aptness for fish and other aquatic animals are produced and distributed. The many factors, such as fish density, feed quality, and feeding intervals, have an impact on aquaculture. Automated water quality monitoring tests are used in the aquaculture sector to evaluate the ponds water quality. The test, which is expensive, can only be performed by trained personnel. This study is based on cutting-edge technology. Innovations in fish farming are being made possible by the Internet of Things (IoT) by using Thingspeak platform, Artificial intelligence (AI), and Blockchain technology. This method presents a smart aquaculture system that uses AI and IoT will enhance fish farming. IoT is a highly used technology in aquaculture because it helps with monitoring and traceable water quality. Sensors were integrated to measure real-time data to analyse the pH level, dissolve oxygen, temperature, turbidity, and total solid dissolution. Save time and reduce fish mortality by using this system. This intention aided in the classification of two types of fish illnesses. There are two: Epizootic Ulcerative Syndrome (EUS) and Ichthyophthirus (Ich). This system uses a motion sensor to inspect the movement of fish and stores the data in an Arduino cloud application. An Android phone is used as a terminal device to alert them when it reaches unhygienic environmental conditions, and they can also monitor their pond whenever needed. The aquaponics system of the future will become more intelligent, intensive, precise, and efficient as a result of this technological advancement.