Quality and Safety Warning of Edible Forest Products Based on Gray Forecast Model

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.

• Periodical: Applied Mechanics and Materials (Volume 340)
• Pages: 924-928
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.340.924
• Online since: July 2013
• Authors: Peng Zhang, Zhen Liu, Zhong Su Ma
• Keywords: Edible Forest Products, GM(1,1) Model, Gray System, Warning

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