The fuzzy inference system for intelligent water quality monitoring system to optimize eel fish farming

Eel is a high economic value commodity. International market demand for this fish is high enough, so a lot of farmers cultivated it with main objective of export. The problem in eel fish farming is the seeds that have to be taken directly from nature. This impacts to the more rapidly declining of eel seeds availability. Another problem in the cultivation of eels is how to control and create environments that match the eels natural habitat. This research This research aims to control some cultivation environment parameters such as pH, dissolved oxygen, and temperature. This system has been developed in an embedded system that connects some sensors with a single board computer (SBC) through a microcontroller. A fuzzy inference system algorithm is implemented on the SBC to control the process intelligently. As an integrated remote monitoring system, the data are sent to the server, then the user could have a real time information of environmental water condition of eels.