Song, Y.; Lyu, C., and Guo, W., 2018. On-line monitoring research of seafood quality safety based on image monitoring. In: Liu, Z.L., and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 627–631. Coconut Creek (Florida), ISSN 0749-0208.

Traditional methods of on-line monitoring of seafood quality safety based on hierarchical analysis has the problem that the analysis is not comprehensive and the monitoring effect is not ideal. In this paper, an on-line monitoring method based on image monitoring is proposed. First, the security risks in seafood aquaculture environment are analyzed. Then, the data collection and water quality of seafood farms are analyzed by image monitoring technology, and the risks of breeding and fresh environment are evaluated. At last, image monitoring system is used for seafood disease or death monitoring and identification. Experimental results show that the results by the use of image monitoring system for seafood aquaculture environment monitoring and the actual test results are basically consistent and realize the protection of seafood quality and safety from the source.