Abstract
Aiming at the insufficiency of the logistics distribution model of traditional agricultural products, this paper puts forward the optimization modeling analysis of the intelligent logistics distribution route of agricultural products under the Internet of Things. According to the logistics distribution model of agricultural products under the Internet of Things environment, the intelligent logistics distribution path of agricultural products is optimized and modeled and analyzed. The objective function of the shortest path of the model is calculated, and constraint conditions are set, thereby completing the intelligent logistics distribution path optimization modeling of agricultural products. Experimental parameters are set and traditional methods with path optimization modeling analysis methods are compared. From the comparison results, When the time is 10:00, the difference between the accuracy of the traditional method and the accuracy of the intelligent logistics distribution route optimization model is the largest, with a difference of 80%. It can be seen that the use of intelligent logistics distribution route optimization modeling and analysis has higher accuracy. It can be seen that the path optimization modeling and analysis method has higher precision in the analysis of agricultural products intelligent logistics distribution route, and provides an effective solution to ensure freshness of agricultural products.
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Agricultural Science Research Plan in Shaanxi Province of China: “Research on key technologies and applications of Smart agriculture planting and logistics distribution based on the Internet of Things” (NO. 2017NY132).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Ai, X., Zhang, Y. (2019). Modeling Analysis of Intelligent Logistics Distribution Path of Agricultural Products Under Internet of Things Environment. In: Liu, S., Yang, G. (eds) Advanced Hybrid Information Processing. ADHIP 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-030-19086-6_36
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DOI: https://doi.org/10.1007/978-3-030-19086-6_36
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