Singapore needs to increase its local seafood production in order to meet its “30 by 30” goal of increasing food security. However, the aquaculture industry in Singapore is currently dominated by traditional coastal open-net fish farms that are faced with high operational costs, of which feed wastage due to inaccurate and inefficient manual feeding is a significant contributor. Due to the small scale of such farms, it is also challenging for them to adopt high-tech solutions that have been explored and implemented elsewhere.

Thus, in this project we are developing an on-demand feeding solution that can be easily implemented and integrated within existing open-net fish farms to achieve accurate and efficient feed optimisation. It features the use of sensors to detect disturbances in the water caused by fishes during feeding in order to determine when and how much the fishes should be fed so as to minimise feed wastage.