Abstract
Strengthening food security early warning system is an important content of the food safety supervision. The gray model of edible forest products warning is constructed on the basis of gray prediction theory, and this article takes the pecan peroxide value in laboratory at room temperature be measured during storage as the example to do the case study. The results show that the model has higher prediction accuracy and generalization ability, and the early warning of edible forest product quality and safety is reliable.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
