Research on Integration Pattern of Agricultural Product Supply Chain under Electronic Commerce Environment in China: with Zhejiang as an Example

The electronic commerce is a modern emerging agricultural trading pattern, which brings deep influences on the commercial circulation. The traditional agricultural product supply chain consists of the producer, local market of production and sale place, wholesaler and retailer. This pattern features low circulation efficiency and big consumption of the agricultural products. To overcome these problems, the emerging agricultural product supply chain based on electronic commerce seamlessly integrates production, processing, circulation and consumption steps of agricultural products in order to fully share the supply chain information, reduce the trading cost and shorten the trading cycle. By analyzing the current conditions of the agricultural products in Zhejiang province, this paper points out problems in circulation of agricultural products in Zhejiang province, proposes supply chain integration model of agricultural products in Zhejiang province based on electronic commerce, analyzes strengths of the integration model, and proposes the recommended strategy for the supply chain of agricultural products under the electronic commerce environment in China

Agile Supply Chain Management in Agricultural Business

Abstract— The modern development of the agricultural business in the world is focused on a system of flexible network management, innovations, information, and intellectual property. Large companies are of great significance in this process; agricultural holdings are very important in Russian agricultural business. Unfortunately, the Russian agribusiness sector is dominated by small and medium-sized enterprises, namely, concurrent enterprises, farms, small businesses in rural areas. They produce and market agricultural products. Therefore, supply chain management in agricultural business requires digitalization and the use of flexible management methods. The purpose of the research is to study agile supply chain management methods in agricultural business. We have considered such flexible methods as a digital platform and a blockchain technology, which contribute to the partnership between small and medium-sized agrifood enterprises by creating a digital network platform for all parties interested in the agricultural product. These methods are more productive compared to the traditional approaches; they provide more efficient interaction between manufacturers, consumers and intermediaries in the flow of goods and services through the supply chain. Unfortunately, agile supply chain management in the agricultural business of Russia has not been widely introduced yet, which makes it difficult to collect analytical information. We believe that this may be explained by the predominance of small and medium-sized enterprises in the country, the lack of digital platforms that act as intermediaries in the supply chain to connect crop producers and consumers

Security and Privacy for Green IoT-based Agriculture: Review, Blockchain solutions, and Challenges

open access articleThis paper presents research challenges on security and privacy issues in the field of green IoT-based agriculture. We start by describing a four-tier green IoT-based agriculture architecture and summarizing the existing surveys that deal with smart agriculture. Then, we provide a classification of threat models against green IoT-based agriculture into five categories, including, attacks against privacy, authentication, confidentiality, availability, and integrity properties. Moreover, we provide a taxonomy and a side-by-side comparison of the state-of-the-art methods toward secure and privacy-preserving technologies for IoT applications and how they will be adapted for green IoT-based agriculture. In addition, we analyze the privacy-oriented blockchain-based solutions as well as consensus algorithms for IoT applications and how they will be adapted for green IoT-based agriculture. Based on the current survey, we highlight open research challenges and discuss possible future research directions in the security and privacy of green IoT-based agriculture

IOT-enabled Quality Management Process Innovation and Analytics in China’s Dairy Industry: A Data Flow Modeling Perspective

Since the melamine incident was reported in China, China’s dairy industry attracts more and more attention, leading some scholars to conduct research on quality management and safety monitoring issues of China’s dairy industry. The technology of the Internet of Things (IOT) is viewed as one of the best ways to solve the safety problems of China’s dairy industry by supporting the development of dairy traceability systems. This paper firstly analyses the current situation of China’s dairy industry supply chain to get at the root of the problem. We then propose an IOT-enabled quality management framework which is an innovation mode of quality management in China’s dairy industry supply chain. To further highlight the important role of IOT technology, we employ a business process modeling approach based on data flow perspective to describe this innovation management mode. The artifacts we design, especially the matrix of dairy products and process information, can help the practitioners to efficiently monitor the quality information of dairy products

agroString: Visibility and Provenance through a Private Blockchain Platform for Agricultural Dispense towards Consumers

It is a known fact that large quantities of farm and meat products rot and are wasted if correct actions are not taken, which may lead to serious health issues if consumed. There is no proper system for tracking and communicating the status of the goods to their respective stakeholders in a secure way. Consumers have every right to know the quality of the products they consume. Using monitoring tools, such as the Internet of Agricultural Things (IoAT), and modern data protection techniques for storing and sharing, will help mitigate data integrity issues during the transmission of sensor records, increasing the data quality. The visibility state at the customer end is also improved, and they are aware of the agricultural product’s conditions throughout the real-time distribution process. In this paper, we developed and implemented a CorDapp application to manage the data for the supply chain, called “agroString”. We collected the temperature and humidity data using IoAT-Edge devices and various datasets from multiple sources. We then sent those readings to the CorDapp agroString and successfully shared them among the relevant parties. With the help of a Corda private blockchain, we attempted to increase data integrity, trust, visibility, provenance, and quality at each logistic step, while decreasing blockchain and central system limitations

Assessment of Cyber Risks in an IoT-based Supply Chain using a Fuzzy Decision-Making Method

Purpose: The Internet of Things (IoT) is a relatively new paradigm that is growing rapidly in modern wireless communication scenarios. The main idea of this concept is the pervasive presence of all kinds of objects around us. This technology is the basis of today's intelligent life and is known as one of the most important sources of big data. Meanwhile, businesses are no exception to this rule and try to use the Internet of Things to make their business smarter. Supply chain management is a goal-based goal of linking business operations to provide a common view of market opportunity. Methodology: Using IoT technology, all major parts of the supply chain, including supply, production, distribution and sales, can be affected. Because this evolutionary technology is intertwined with Internet technology, the use of network-based tools can always create risks for business owners who use these technologies. Therefore, understanding and investigating a variety of cyber risks in this area can It is very important and by understanding their hands, we can prevent many future risks. Linear analysis based on hierarchical analysis is used. Findings: The results show that privacy is very important in interaction with suppliers as well as customers, and therefore those effective measures to deal with these risks can reduce many of the problems caused by this technology. Originality/Value: This paper attend to assessment of cyber risks in an IoT-based supply chain using a fuzzy decision-making method

Supply Chain Management of Agricultural Technology Innovation: Study of Fujian and Taiwan

Fujian and Taiwan has shared a strong cross-strait agricultural relation, and the government is keen to further strengthen the trade between the two. There has been substantial growth in the Fujian trade with Taiwan in agricultural goods that has increased more than $ 2.7 billion in 2013 for a year-on-year growth of 70%. This study adopted secondary data collection method to obtain information for the research. The research was mainly qualitative to acquire in-depth information on the matter under study. The findings showed that with the help of e-commerce both Fujian and Taiwan have been benefited with low transaction costs and efficient supply chain management to ensure effective trade. Keywords: Supply Chain Management, Agriculture, E-Commerce, Trade

Management of food cold chains traceability amid the COVID-19 pandemic

The present article considers the functioning of food supply chains and their major component — a continuous cold chain of perishable food products, including meat products, under the conditions of COVID‑19 pandemic. The issues of the impact of the pandemic on production, processing and commercial supply of meat and meat products in Russia and worldwide are being considered. The traceability of temperature fluctuations in meat processing plants is relevant; it becomes an increasingly important factor for efficient logistics to provide the best supply and to keep the food safe in the current conditions. Research data is presented here. The results of the research show that frozen foods serve as carriers and distributors of SARS-CoV‑2 infection without any contact between people. This conclusion highlights additional challenges in controlling the spread of COVID‑19 worldwide, and reveals the mechanism of the disease transmission, taking into account the peculiarities of temperature modes during storage and transportation of perishable meat products. The risks of food cold chains functioning under the conditions of pandemic, the adaptive strategies for their mitigation and logistical systems of tracking are considered, in particular, the application of various data technologies