The quality and safety of agricultural products is a worldwide hot issue. In recent years, with the occurrence of a series of accidents, the safety of agricultural products has attracted great attention at home and abroad. Public health and social harmony and stability. For this reason, many national government departments have established relatively complete food safety traceability systems, which have become an integral part of food safety management. The tracking system has become an important means of agricultural product safety management. Although the traditional tracking technology has ensured the quality of agricultural products to a certain extent and enhanced the competitiveness of agricultural products in international trade, the problem of broken agricultural product tracking chains may occur, which is caused by the defects of the traditional agricultural product supply chain. At present, the Internet of Things technology is developing rapidly. This article proposes a new mode of operation of the agricultural product supply chain based on the Internet of Things technology. Under this model, there is no separation of production and sales, and compared with the traditional supply chain, it solves the problem of traceable chain breaking of agricultural products. In the experimental part, the fuzzy comprehensive evaluation method is used to calculate the priority of the agricultural product supply chain and the traditional supply chain after applying the Internet of Things technology. The results show that the new agricultural product supply chain proposed in this paper has improved the priority of the traditional supply chain by nearly 35. %, The new agricultural product supply chain system proposed in this article has the effect of improving and developing China's agricultural product supply chain system.

Renlan Wang. Agricultural Products Tracking Technology for Sustainable Supply Chain. Academic Journal of Agricultural Sciences (2022), Vol. 3, Issue 1: 58-72. https://doi.org/10.38007/AJAS.2022.030105.

[1] Ming Xiao, Nan Dong, Xin Lyu. Discussion on agricultural product quality and safety problem from ecological view. Ying Yong Sheng Tai Xue Bao, 2015, 26(8):2571-2580.

[2] Zhou G . Highlights in agri-product quality and safety. Frontiers of Agricultural Science and Engineering, 2018, 5(3):137-142. https://doi.org/10.15302/J-FASE-2018236

[3] Katherine Blondon, Rolf Wipfli, Christian Lovis. Use of eye-tracking technology in clinical reasoning: A systematic review. Studies in Health Technology & Informatics, 2015, 2(10):90-94.

[4] Olsson A , Maria Engström, Pernilla Åsenlöf, et al. Effects of tracking technology on daily life of persons with dementia: three experimental single-case studies.. Am J Alzheimers Dis Other Demen, 2015, 30(1):29-40. https://doi.org/10.1177/1533317514531441

[5] Tao QIAN, Shasha CHEN. Sino-Australian Agricultural Product Trade Development in the Context of the Belt and Road Initiative. Asian Agricultural Research, 2016, 08(8):38-43.

[6] L. Lin, P. Yu, Z. Li. Using clustering algorithm to visualize spatial-temporal internet of things data in process of agricultural product circulation. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31(3):228-235.

[7] Chen Jinbo, Cao Xiangliang, Fu Han-Chi. Agricultural product monitoring system supported by cloud computing. Cluster Computing, 2018(3):1-10.

[8] Alcardo Alex Barakabitze, Kadeghe Goodluck Fue, Edvin Jonathan Kitindi. Developing a Framework for Next Generation Integrated Agro Food-Advisory Systems in Developing Countries. International Journal of Information Communication Technologies & Human Development, 2016, 8(4):13-31. https://doi.org/10.4018/IJICTHD.2016100102

[9] Lijian W , Chengming S , Yingying C , et al. A Review on Application of Agricultural Product Quality Traceability System in China. Food Science, 2015, 36(11):267-271.

[10] Wang Q , Qin J , Xiang X , et al. Agricultural Product Trademark Image Retrieval Method Based on Boundary and Region Features. Journal of Computational and Theoretical Nanoscience, 2015, 12(11):4010-4016. https://doi.org/10.1166/jctn.2015.4311

[11] Chen C , Tian’en Chen, Zhang C , et al. Research on Agricultural Products Cold-Chain Logistics of Mobile Services Application. Ifip Advances in Information & Communication Technology, 2015, 420:247-254. https://doi.org/10.1007/978-3-642-54341-8_26

[12] Hao Zhang, Bin Qiu, Keming Zhang. A new risk assessment model for agricultural products cold chain logistics. Industrial Management & Data Systems, 2017, 117(9):1800-1816. https://doi.org/10.1108/IMDS-03-2016-0098

[13] Djekic I , Jelena Kuzmanović, Aleksandra Anđelković, et al. Effects of HACCP on process hygiene in different types of Serbian food establishments. Food Control, 2016, 60(2):131-137. https://doi.org/10.1016/j.foodcont.2015.07.028

[14] Elmin A . Hazard Analysis and Critical Control Point (HACCP) system and its application in food safety. Eos Transactions American Geophysical Union, 2015, 86(23):218–221.

[15] Andrea Osimani, Lucia Aquilanti, Francesca Clementi. Evaluation of HACCP System Implementation on the Quality of Mixed Fresh-Cut Salad Prepared in a University Canteen: A Case Study. Journal of Environmental Health, 2015, 77(6):78-84.

[16] Zhou Z , Chen B , Yu H . Understanding RFID Counting Protocols. IEEE/ACM Transactions on Networking, 2016, 24(1):312-327. https://doi.org/10.1109/TNET.2014.2361149

[17] Fu Xiao, Zhongqin Wang, Ning Ye. One More Tag Enables Fine-Grained RFID Localization and Tracking. IEEE/ACM Transactions on Networking, 2017,12(4):1-14. https://doi.org/10.1109/TNET.2017.2766526

[18] Jiajue Ou, Mo Li, Yuanqing Zheng. Come and Be Served: Parallel Decoding for COTS RFID Tags. IEEE/ACM Transactions on Networking, 2017, 25(3):1569-1581. https://doi.org/10.1109/TNET.2016.2645232

[19] LU Zhichuang, TIAN Jiashen, WANG Zhaohui. Using stable isotope technique to study feeding habits of the finless porpoise(Neophocaena asiaeorientalis ssp. sunameri). Acta Ecologica Sinica, 2016, 36(1):69-76. https://doi.org/10.5846/stxb201407071390

[20] Elhattab A W , Jahoor F . The utility of arginine-citrulline stable isotope tracer infusion technique in the assessment of nitric oxide production in MELAS syndrome.. International Journal of Cardiology, 2018, 254(1):282-290. https://doi.org/10.1016/j.ijcard.2017.06.001

[21] Pan J , Zhu X , Yang L , et al. Research and Implementation of Safe Production and Quality Traceability System for Fruit. Ifip Advances in Information & Communication Technology, 2016, 368(1):133-139. https://doi.org/10.1007/978-3-642-27281-3_17

[22] YANG Liang, YANG Zhen-gang, XIONG Ben-hai. Preliminary Discussion on the Design of Coding Rules in Product Traceability of Beef Cattle. Journal of Agricultural Science & Technology, 2015, 76(2):84-90.

[23] M. Wang, Y. Zhao, X. Qi. Proposal of index for PMU field performance evaluation in actual operating environment. Power System Protection & Control, 2015, 43(6):86-92.

[24] Hadeel K. Aljobouri, Hussain A. Jaber, Ilyas Çankaya. Performance evaluation of prototype-based clustering algorithms combined MDL index. Computer Applications in Engineering Education, 2017, 25(4):642-654. https://doi.org/10.1002/cae.21824

[25] Muhammad Athar Haroon, Jiahua Zhang, Fengmei Yao. Drought monitoring and performance evaluation of MODIS-based drought severity index (DSI) over Pakistan. Natural Hazards, 2016, 84(2):1349-1366. https://doi.org/10.1007/s11069-016-2490-y