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Research on Counting Algorithm of Residual Feeds in Aquaculture Based on Machine Vision

The waste of feed has always restricted the development of aquaculture. This paper presents an algorithm that can accurately obtain the residual information of feeds after a feeding event. With the purpose of applying the residual feed counting algorithm to the actual production, we focused on solving problems of counting feed pellets, such as turbid pond water, feed adhesion etc. We carry our experiments with different water turbidity levels and with feed adhesion, and some experiments have over 100 pellets. Experiments show that relative error can still be maintained at about 10% under the condition of turbid water and feed adhesion, which is much better than 20% obtained by other counting algorithm.