Abstract

Risk prediction refers to a measure that predicts and formulates countermeasures to prevent accidents from occurring during the work process and work results before work. With the development of the global economy, fresh agricultural products, as one of the agricultural products with the largest daily consumption, will have a serious impact once a problem occurs. The emergence of Internet of Things technology makes the supply of agricultural products in more forms to the market. This article analyzed the related literature about agricultural calendar year outsourcing research; the scholars have identified factors influencing the quality of security screening and classification, common process and characteristics of domestic agricultural products outsourcing, standing in the perspective of external environment and internal processes, from the natural environment of supply chain, the production processing, transportation, circulation, and marketing chain. The factors that may affect the quality and safety of fresh agricultural products were identified, and the risk assessment index system was finally determined. Then, the risk of risk index is evaluated from the perspective of six attributes of risk; that is, the risk of each risk index is considered from the possibility of occurrence, loss caused, infectivity, mitigation, controllability, and predictability, rather than just the possibility and loss of risk. Finally, the system evaluation data shows that the stability of the system is as high as about 80, indicating that the system has a good stability.

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