Article Details

Title · Authors · Abstract · Keywords · DOI · References

Research and Development of a Full-chain Traceability Cloud Platform for Internet of Things

WU Zhipan, LI Fan, JIANG Yunhe

(School of Computer Science and Engineering, Huizhou University, Huizhou 516007, China)

Section:Internet of Things · Vol. 2025, Issue 1 · Pages:188-192,198 · 2096-4706(2025)01-0188-06 · CLC number:TP39 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2025.01.036

Abstract

The application of Internet of Things technology in agriculture is becoming increasingly widespread, significantly enhancing agricultural production efficiency and product quality. This paper provides a comprehensive review of the current situation of full-chain traceability cloud platforms and their application in agriculture. By analyzing domestic and international research outcomes and practical cases, it discusses the critical roles of sensing technology, cloud computing and Big Data technology, and information security and privacy protection technology in full-chain traceability. It summarizes the challenges faced in the aspects of data collection and transmission, storage and processing, security and privacy protection, and proposes corresponding solutions. Finally, it looks forward to the future development direction of the full-chain traceability cloud platform, emphasizing the importance of technological improvement and innovation and their broad application prospects in the agricultural field.

Keywords

Internet of Things; full-chain traceability; cloud platform; smart agriculture; data collection

References

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About the authors

Wu Zhipan (1975-), male, Han nationality, from Meizhou, Guangdong, lecturer, master's degree, research direction: artificial intelligence, pattern recognition, computer education; Li Fan (2003-), male, Han ethnicity, from Chenzhou, Hunan Province, is currently pursuing a bachelor's degree. His research interests include embedded systems and the Internet of Things; Jiang Yunhe (2004-), male, Han ethnicity, from Shenzhen, Guangdong, is currently pursuing a bachelor's degree with research interests in artificial intelligence and deep learning.