Food input risk monitoring and early warning method
A risk monitoring and food technology, applied in data processing applications, instruments, calculations, etc., can solve the problems of differences in imported food, the impact of the accuracy of imported food safety risk monitoring and early warning, and achieve accurate monitoring and early warning, and the effect of good application prospects.
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[0026] This embodiment provides a food import risk monitoring and early warning method, which includes the following steps:
[0027] Step 1: Obtain the batches that pass the random inspection and the batches that fail the random inspection of locally produced food and imported food in the region. In this embodiment, the scope of the region is the province.
[0028] Step 2, according to the food category, estimate the prior distribution of the qualified rate of the food category;
[0029] Step 3, according to the data obtained in Step 1 and Step 2, use empirical Bayesian estimation to obtain the posterior pass rate of locally produced food and imported food;
[0030] Bayesian analysis is a class of methods that utilize prior or expert information to estimate parameters. This method uses the Bayesian formula to update the parameter estimates, making the parameter estimates closer to the actual situation. In the sampling problem, it can be modeled using a beta-binomial model. ...
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