Bulletin of Electrical Engineering and Informatics Vol. 12, No. 3, June 2023, pp. 1435~1446 ISSN: 2302-9285, DOI: 10.11591/eei.v12i3.3365  1435 Journal homepage: http://beei.org IoT-based smart monitoring and management system for fish farming Abdallah Waddah Al-Mutairi 1 , Kasim Mousa Al-Aubidy 2 1 PT Stasiun Utama, Research Department, Tangerang, Indonesia 2 Intelligent Embedded Systems Research Group, Faculty of Information Technology, Philadelphia University, Amman, Jordan Article Info ABSTRACT Article history: Received Nov 10, 2022 Revised Dec 11, 2022 Accepted Dec 23, 2022 Fish farming is still controlled and managed in the traditional way where water quality and fish feeding are manually controlled. There is a need to use computer and communication technology in fish farms for remote monitoring and control. This paper deals with the design and implementation of an internet of things (IoT) based system for real-time monitoring, control and management of fish farming. The design of such a system is based on measuring different types of variables and using the information to control fish growth and increase productivity. Each fish pond is a node in a wireless sensor network. The node contains an embedded microcontroller connected to a set of sensors and actuators and a wireless communication module. Two fuzzy controllers are designed to control the water quality in the ponds as well as the environment using five sensors in each pond plus three environmental sensors. Practical results indicate the accuracy of the measurement system compared to the results obtained from commercial devices used on the farm. These results also showed that the proposed approach achieves the best performance of the real-time monitoring and control system in fish ponds. Keywords: Embedded systems Fish farms Internet of things Real-time monitoring and control This is an open access article under the CC BY-SA license. Corresponding Author: Kasim Mousa Al-Aubidy Intelligent Embedded Systems Research Group, Faculty of Information Technology Philadelphia University P O Box 1, 19392, Amman, Jordan Email: kma@philadelphia.edu.jo 1. INTRODUCTION Industries and population growth have contributed significantly to the increase in pollution, so there is a need to take effective decisions to control pollution quickly. A real-time environmental pollution monitoring system is an ideal approach to monitoring and studying the impact of polluting elements on the environment. Monitoring systems containing a number of sensors were used to supply the level of pollution, in addition to statistical data placed on the internet in an organized and easy way to be available to the public [1], [2]. Water pollution and climate change are among the most important factors affecting fish farming projects that contribute to the availability of food for an increasing number of population. Fish farmers face other challenges represented in the regular feeding of fish and operating costs [3], [4] in addition to the loss of fish due to diseases caused by water pollution [5], [6]. These challenges have encouraged researchers to incorporate modern computer and communication technologies into water quality monitoring and control systems when fish environment become unhealthy [7], [8]. Recently, internet of things (IoT) technology is widely used in many applications in most areas of life. as it is an advanced model of environmental interaction [9], [10]. In the field of agriculture and aquaculture, IoT technology has been used to monitor water quality in aquaculture in general and fish in