Your browser doesn't support javascript.
Construction of rice supply chain supervision model driven by blockchain smart contract.
Peng, Xiangzhen; Zhang, Xin; Wang, Xiaoyi; Li, Haisheng; Xu, Jiping; Zhao, Zhiyao.
  • Peng X; Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing, 100048, China.
  • Zhang X; Key Laboratory of Industrial Internet and Big Data (Beijing Technology and Business University), China National Light Industry, Beijing, 100048, China.
  • Wang X; Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing, 100048, China. zhangxin@btbu.edu.cn.
  • Li H; Key Laboratory of Industrial Internet and Big Data (Beijing Technology and Business University), China National Light Industry, Beijing, 100048, China. zhangxin@btbu.edu.cn.
  • Xu J; Beijing Institute of Fashion Technology, Beijing, 100048, China.
  • Zhao Z; Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing, 100048, China.
Sci Rep ; 12(1): 20984, 2022 Dec 05.
Article in English | MEDLINE | ID: covidwho-2151114
ABSTRACT
The outbreak of the COVID-19 and the Russia Ukraine war has had a great impact on the rice supply chain. Compared with other grain supply chains, rice supply chain has more complex structure and data. Using digital means to realize the dynamic supervision of rice supply chain is helpful to ensure the quality and safety of rice. This study aimed to build a dynamic supervision model suited to the circulation characteristics of the rice supply chain and implement contractualization, analysis, and verification. First, based on an analysis of key information in the supervision of the rice supply chain, we built a dynamic supervision model framework based on blockchain and smart contracts. Second, under the logical framework of a regulatory model, we custom designed three types of smart contracts initialization smart contract, model-verification smart contract, and credit-evaluation smart contract. To implement the model, we combined an asymmetric encryption algorithm, virtual regret minimization algorithm, and multisource heterogeneous fusion algorithm. We then analyzed the feasibility of the algorithm and the model operation process. Finally, based on the dynamic supervision model and smart contract, a prototype system is designed for example verification. The results showed that the dynamic supervision model and prototype system could achieve the real-time management of the rice supply chain in terms of business information, hazard information, and personnel information. It could also achieve dynamic and credible supervision of the rice supply chain's entire life cycle at the information level. This new research is to apply information technology to the digital management of grain supply chain. It can strengthen the digital supervision of the agricultural product industry.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Oryza / Blockchain / COVID-19 Type of study: Experimental Studies / Observational study Language: English Journal: Sci Rep Year: 2022 Document Type: Article Affiliation country: S41598-022-25559-7

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Oryza / Blockchain / COVID-19 Type of study: Experimental Studies / Observational study Language: English Journal: Sci Rep Year: 2022 Document Type: Article Affiliation country: S41598-022-25559-7