DESIGN AND CONSTRUCTION OF AN IOT BASED IMPROVED FISH FARMING SYSTEM

Agriculture including aquaculture has been changing through multiple technological transformations in recent years. The Internet of Things (IoT) and Artificial Intelligence (AI) are providing remarkable technological innovations on fish farming. In this research, we present an automated IoT and AI based system to improve fish farming. The proposed system uses multiple sensors to measure in real time water quality chemical parameters such as: temperature, pH, turbidity, electrical conductivity, total dissolved solids, etc., from the fish pond and then send them on a cloud database to allow fish farmers to access them in real time with their devices (mobile phone, PC, tablets). The system contains three web applications which fish farmers can use. The first web application enables farmers with real time visualizations of sensors data, issues alerts and remote pumps controls. Fish farmers can use the second web application for fish disease detection and to receive suggestions for diseases’ cares. This would help to classify two fish diseases which are: Epizootic Ulcerative Syndrome(EUS), and Ichthyophthirus(Ich). The third web application is a digital community platform for knowledge sharing, capacity building, market opportunities and collaboration among fish farmers. Our system can help reduce human efforts, reinforce capacity building and increase fish production as well as market opportunities for fish farmers.