Evaluation of Agricultural Supply Chain Effects and Big Data Analysis Based on Internet of Things Technology

Abstract

Building an information-based rural economic supply chain is an effective way to implement the rural revitalization strategy. The construction of China’s agricultural product logistics market is still very backward, mainly including imperfect information system and high cost of intermediate circulation links. How to optimize the supply chain of agricultural products, ensure the normal supply of agricultural products quality and quantity in the market, improve people’s living standards, and achieve the purpose of improving benefits is an important topic to be studied today. Aiming at the problems of traditional agricultural products supply chain, the application of Internet of Things technology in supply chain can be effectively solved. Therefore, this paper proposes the research on the environmental effect evaluation of rural economic supply chain based on Internet of Things technology and proposes to build a wireless sensor network for agricultural products for the collection and exchange of agricultural products information. At the same time, RFID (radio-frequency identification) electronic tags integrated with sensors are applied in other links of the supply chain. The experimental results show that the construction of the rural economic supply chain system based on Internet of Things technology can effectively optimize the rural economic supply chain, realize efficient information sharing, improve the quality of agricultural products, reduce the cost of each link of the supply chain, improve the competitiveness of rural supply chain, and promote the good development of rural agricultural products and rural economic supply chain environment.

The Design of Incentive Mechanism for Policy‐Oriented Guarantee Institutions’ Digital Transformation in China

“…Fortunately, due to the remarkable development of new technologies, e.g., big data, cloud computing, and arti cial intelligence [6,7], enterprises in almost all industries have conducted a number of initiatives to explore these technologies and to transform how they create an appropriate value [8,9]. Moreover, disruptions of lockdowns, restrictions on movement, and restructuring of businesses caused by the COVID-19 pandemic [10] have speeded up the pace of digital transformation (DT) [11].…”

Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review

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