Study on Fresh Fish Sorting Techniques

Commercial fish sorting is a labour-intensive task. It is also a repetitive monotonous operation in on-land and on commercial vessels. This usually causes high labour turn-over in relevant industries. Alternatively, sorting of fish using artificial intelligence can reduce production costs and produce better yield with consistent quality. This paper presents a comparative study on the various techniques of fish sorting by size. Early results showed that automation can increase the reliability of sorting and categorization of fresh fish. Also, the application of industrial automation has proven to improve the overall efficiency through the reduction of labour cost and fish damage in manual handling. The study has shown while there is no satisfactory commercial product for the automation of fish sorting by size; computer-based attempted methods have shown lots of promise