Design and implementation of Intelligent Aquaponics Monitoring System based on IoT

Abstract

Aquaponics is a merging of agriculture and aquaculture culture systems that may provide a solution to overcome land and water limitations and food security. Water quality in fishponds is a determining factor in aquaculture and is still much needed to be studied extensively. However, evaluating the quality of ponds proves to be a challenging task, mainly due to a lack of data and the constant maintenance involved in handling and controlling water quality. This study aims to develop water quality management systems for catfish ponds by utilizing aquaponics technology and IoT technology, combined with water quality control systems with artificial intelligence fuzzy logic to control temperature and ammonia levels, which are important variables in maintaining water quality. This study additionally makes it easy for farmers to monitor pH parameters, Turbidity, Total Dissolved Solid (TDS), Dissolved Oxygen and Water Level, and receive information related to the pond anytime and anywhere. If the pond water quality is not at an optimal state, farmers can directly intervene and carry out the needed measures as soon as possible. Experiments on monitoring, warning, and control systems were successfully employed.