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3 February 2023 Location selection model of agricultural products logistics park based on density peak fuzzy clustering algorithm
Maoxuan Yao, Lina Ren
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Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 125112D (2023) https://doi.org/10.1117/12.2660315
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China
Abstract
With the rapid improvement of the national economy, people's requirements for food quality are increasing. Among many food materials, agricultural products have the highest requirements for transportation and storage. Different types of agricultural products throughout the country are produced scattered, most of the agricultural products in the form of natural circulation. In the traditional logistics system, the circulation of agricultural products from producers to consumers needs to experience long cycle, high logistics cost and low efficiency. However, the establishment of modern agricultural products logistics park can solve a series of problems such as agricultural products transportation, storage, processing and sales, and achieve the purpose of reducing logistics cost and improving logistics efficiency. Therefore, this paper proposes a clustering model of agricultural products logistics park location based on density peak fuzzy clustering algorithm. Taking Guiyang city as an example, site selection analysis is conducted by combining web crawler data and desensitization data to verify the feasibility of the model constructed in this paper. Finally, some constructive suggestions on the site selection of agricultural products logistics park are put forward to provide reference for government construction planning.
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Maoxuan Yao and Lina Ren "Location selection model of agricultural products logistics park based on density peak fuzzy clustering algorithm", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 125112D (3 February 2023); https://doi.org/10.1117/12.2660315
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KEYWORDS
Agriculture
Data modeling
Fuzzy logic
Data centers
Analytical research
Matrices
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