IoT based Smart Aquaculture

IoT and machine learning technology is growing very rapidly and its implementation has been conducted in several sectors. One of them is for aquaculture. For the traditional farmers, they face problems for monitoring water quality, food feeding and recycling of water. In this paper, we present the application of IoT and machine learning algorithms in aquaculture. The system performs water quality monitoring, automatic food feeding, and water recycling and fish disease detection. Water quality is a critical factor by culturing aquatic organisms. The quality of water is monitored continuously with the help of sensors to ensure growth and survival of aquatic life. The sensed data is transferred to the aqua farmer's mobile via IoT. Automatic food feeding system supplies a fixed amount of food at regular intervals of time. Water recycling system uses free energy water pump. Studies based on machine learning have been developed for the diagnosis of diseases in fish. As such, the proposed smart system has demonstrated to be a self-sustainable, cost-effective, eco-friendly urban farming that can attract commercial farmers and home gardeners. Citation: Neetha K, Haritha Haridas, Hena H, Namitha Chandra Bose, Lakshmi Nair. "IoT based Smart Aquaculture ." Global Research and Development Journal For Engineering [ERTEE' 19], Adishankara Institute of Engineering and Technology, kalady, Kerala KTU(Kerala Technological University), (March 2019) : pp. 193 - 197.