Method and device for judging fish shelf life

Abstract

The invention provides a method and a device for judging fish shelf life. The method comprises obtaining storage temperature, storage time, and gas component data; inputting the gas component data toN principal component expression formulas to obtain N principal component values; inputting the storage temperature, the storage time, and the N principal component values to a first radial basis function neural network model to obtain the predicted content of volatile basic nitrogen; inputting the storage temperature, the storage time, and the N principal component values to a second radial basisfunction neural network model to obtain the predicted content of total plate count; when the predicted content of the volatile basic nitrogen is greater than a preset value of the volatile basic nitrogen or a preset value of the total plate count, determining that a sample exceeds the shelf life. The method can predict the fish freshness and shelf life at different temperatures quickly, non-destructively and conveniently, and performs rapid, timely and non-destructive freshness and shelf life prediction and monitoring in the logistics distribution and retail process.

Description

technical field [0001] The invention relates to the technical field of logistics monitoring, in particular to a method and device for judging the shelf life of fish. Background technique [0002] In recent years, fishery production has developed by leaps and bounds, and the output value of the aquatic product processing industry has also continued to grow. Followed by fish food quality and safety issues also appear frequently. Since the main components of fish are: water, carbohydrates and protein, different temperature changes in the process of processing, transportation and storage will lead to deterioration of fish meat quality. Therefore, the freshness and shelf life of fish food in the cold chain logistics and retail process deserve special attention. [0003] The quality inspection and shelf life prediction of fish food in the prior art is time-consuming and laborious, and it is impossible to quickly, timely and non-destructively judge and predict the freshness and s...

AI Technical Summary

Problems solved by technology

[0003] The quality inspection and shelf life prediction of fish food in the prior art is time-consuming and laborious, and it is impossible to quickly, timely and non-destructively judg

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