The design of intelligent shelf-life prediction device and research on shelf-life prediction algorithm of peneaus vannamei

This paper proposes a new intelligent prediction device which can quickly and accurately predict the shelf-life of Penaeus vannamei. Because Penaeus vannamei has different corruption rate under different temperature condition and different preservation time, the theory of TTT can´t accurately calculate the shelf-life under any condition, the K-means algorithm is adopted to divide the corruption rate into different clusters in this paper. And then, the TTT algorithm is improved on different clusters to get more accurate prediction value, the polynomial fitting function is adopted to predict the shelf-life. Eventually, the biochemical experiments show that the device can accurately predict the shelf-life.