In the current fresh agricultural product consumption market, consumers' demand for fresh agricultural products tends to be diversified and personalized, and the cold chain logistics and distribution of fresh agricultural products are more stringent. This article mainly discusses the joint distribution and path optimization of 5G networked cold chain logistics of fresh agricultural products. Combining the advantages of 5G Internet of Things technology and the characteristics of fresh agricultural product, this paper proposes a fuzzy time window function, customer satisfaction function, loss function of fresh agricultural products, and establishes a path optimization model. First, analyze the cold chain distribution system of fresh agricultural products, find unreasonable aspects, and then put forward relevant suggestions to establish a path optimization model of agricultural products cold chain logistics distribution considering the cooling cost in the soft time window of the bicycle yard with non-full load. The amount, the load capacity of the vehicle, and the time window requirements are used as constraints. By using the CSO algorithm to solve the model, the cold chain distribution path of fresh agricultural products is optimized. The feasible optimization measures and schemes for the logistics distribution of agricultural products are obtained, and the distribution routes before and after optimization are compared, and the economic benefit level of the optimized route is obtained to a certain extent. It can be seen from the table that 75% of customers are very satisfied with this new type of freight transportation. It can be seen that the model has certain practical significance.

Jun Wang. Joint Distribution and Route Optimization of 5G Networked Cold Chain Logistics for Fresh Agricultural Products. Academic Journal of Agricultural Sciences (2023), Vol. 4, Issue 1: 42-53. https://doi.org/10.38007/AJAS.2023.040104.

[1] Suijia, Hour, Senghout, et al. A Low-Power Wide-Area Network Information Monitoring System by Combining NB-IoT and LoRa. IEEE Internet of Things Journal, 2019, 6(1):590-598.

[2] Magalhaes, Vaner, J, et al. Advancing NovaGenesis Architecture Towards Future Internet of Things. IEEE Internet of Things Journal, 2019, 6(1):215-229.

[3] Chen L, Zhao N, Chen Y, et al. Over-the-Air Computation for IoT Networks: Computing Multiple Functions With Antenna Arrays. Internet of Things Journal, IEEE, 2019, 5(6):5296-5306.

[4] Keivanpour S, Kadi D A . The Effect of "Internet of Things" on Aircraft Spare Parts Inventory Management. IFAC-PapersOnLine, 2019, 52(13):2343-2347.

[5] Muthukumar N, Srinivasan S, Ramkumar K, et al. A model-based approach for design and verification of Industrial Internet of Things. Future Generation Computer Systems, 2019, 95(JUN.):354-363.

[6] Jeong S, Na W, J Kim, et al. Internet of Things for Smart Manufacturing System: Trust Issues in Resource Allocation. IEEE Internet of Things Journal, 2019, 5(6):4418-4427.

[7] Shanshan, Zhao, Shancang, et al. Blockchain Enabled Industrial Internet of Things Technology. IEEE Transactions on Computational Social Systems, 2019, 6(6):1442-1453.

[8] Chen D, Cao H, Chen H, et al. Smart Insole-Based Indoor Localization System for Internet of Things Applications. IEEE Internet of Things Journal, 2019, 6(4):7253-7265.

[9] Vilajosana X, Watteyne T, Vucinic M, et al. 6TiSCH: Industrial Performance for IPv6 Internet-of-Things Networks. Proceedings of the IEEE, 2019, 107(6):1153-1165.

[10] Tsang K F, Huang V . Conference on Sensors and Internet of Things Standard for Smart City and Inauguration of IEEE P2668 Internet of Things Maturity Index [Chapter News]. IEEE Industrial Electronics Magazine, 2019, 13(4):130-131.

[11] Yousuf O, Mir R N . A survey on the Internet of Things security: State-of-art, architecture, issues and countermeasures. Information and Computer Security, 2019, 27(2):292-323.

[12] Guedes R N, Medeiros D A J A, Cezar C B T J . Bubu Digital: A Low-Cost Fever-Detecting Pacifier Using the Internet of Things. IEEE Potentials, 2019, 38(2):35-38.

[13] Palaniswami M, Rao A S, Kumar D, et al. The Role of Visual Assessment of Clusters for Big Data Analysis: From Real-World Internet of Things. IEEE Systems Man and Cybernetics Magazine, 2020, 6(4):45-53.

[14] Guo L, Li Z, Yau W C, et al. A Decryptable Attribute-Based Keyword Search Scheme on eHealth Cloud in Internet of Things Platforms. IEEE Access, 2020, 8(99):26107-26118.

[15] C Gündoan, Kietzmann P, Schmidt T C, et al. Designing a LoWPAN convergence layer for the Information Centric Internet of Things. Computer Communications, 2020, 164(7):114-123.

[16] Viswanatha V, Venkata S, Ashwini K P, et al. Internet of Things(IoT) Based Multilevel Drunken Driving Detection and Prevention System Using Raspberry Pi 3. International Journal of Computer Science and Information Security, 2020, 18(3):131-137.

[17] Chen W C, Niu J S, Liu I P, et al. Study of a Palladium (Pd)/Aluminum-Doped Zinc Oxide (AZO) Hydrogen Sensor and the Kalman Algorithm for Internet-of-Things (IoT) Application. IEEE Transactions on Electron Devices, 2020, 67(10):4405-4412.

[18] Esfahani, Alireza, Mantas, et al. A Lightweight Authentication Mechanism for M2M Communications in Industrial IoT Environment. IEEE Internet of Things Journal, 2019, 6(1):288-296.

[19] Yaqoob I, Hashem I, Ahmed A, et al. Internet of things forensics: Recent advances, taxonomy, requirements, and open challenges. Future Generation Computer Systems, 2019, 92(MAR.):265-275.

[20] Ye Q, Zhuang W, Li X, et al. End-to-End Delay Modeling for Embedded VNF Chains in 5G Core Networks. Internet of Things Journal, IEEE, 2019, 6(1):692-704.