i-Feeder (Intelligent Feeder)

The objective of this project is to develop a remote and automated feeding system
based on fish behaviourfor aquaculture industry. In conventional pond management, fish
feeding time is fixed to some schedule and is done by workers or done by scheduled
feeding mechanism. Furthermore, major problem such as increasing of fish fatality rate
will occur due to abundant feed. For this study, a focus will be given on developing a
prototype for a pond system by monitoring the feeding management, feeding
management is control based on fish behaviour together with input gathered from
infrared sensor. The system is aimed to intelligently minimize the food wastage, usage of
labour forces thus increase production rate. Given foods abundantly to fish will lead to
over feed, poor water quality, affect fish mood and give extra-load to mechanism that is
used in maintaining water quality, such as aerators. Feeding management is great
successful if it is an automated feeding when the fish is hungry and stop when the fish is
satiated. This project will use waterfall methodology consisting of preliminary
investigation, analysis and planning, design, development, testing and implementation.