Fish farming monitoring system / Mohd Badrul Hisham Mohamid Salih

Fish Farming Monitoring System is developed for variety of users such as
researchers, fish farmers and others in the area of water quality monitoring to
acquire and monitor water quality parameters. Current system mostly used
manual data collection and recording method. Thus, these systems are inefficient.
Retrieving and storage becomes a problem for water quality related tasks. Beside
that, manual sampling method is tedious, time consuming and error-prone.
Basically, in this project, water quality related parameters such as pH, water
temperature, and ammonia and dissolve oxygen.
In this project artificial neural network is being used with the MATLAB
function to identify the optimum water quality.