Application of Smart Handheld Device in Agricultural Product Traceability System

2012 ◽  
pp. 77-85 ◽  
Author(s):  
Yi-sheng Miao ◽  
Hua-ri Wu ◽  
Hua-ji Zhu ◽  
Fei-fei Li
Keyword(s):  
Agricultural Product ◽  
Handheld Device ◽  
Traceability System

scholarly journals Research on Value Integration Mode of Agricultural E-Commerce Industry Chain Based on Internet of Things and Blockchain Technology

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Xiaochun Li ◽  
Dan Huang
Keyword(s):  
Economic Benefits ◽  
Mobile Internet ◽  
Internet Technology ◽  
Agricultural Product ◽  
Integration Model ◽  
Daily Lives ◽  
Agricultural Industry ◽  
Industry Chain ◽  
Traceability System ◽  
Blockchain Technology

With the development of Internet technology, especially the application of mobile Internet technology in people’s daily lives, people’s lifestyles and production methods have changed, and they have brought huge economic benefits to society. In order to improve the development quality of agricultural e-commerce and expand the integration model of e-commerce, the paper analyzes the development and changes of Internet technology in the agricultural industry chain from the source to operation, production, service, security, and sales and studies the production experience model iterative upgrade. At the same time, a blockchain-based agricultural product traceability system is proposed. The system has a good supervision effect. Once recorded on the blockchain ledger, all data cannot be changed, which plays a very good traceability role for agricultural e-commerce. Actual cases show that the integrated model of agricultural e-commerce based on blockchain technology can bring huge development potential to the e-commerce industry and can improve the security and traceability of agricultural e-commerce.

A further investigation on q-rung orthopair fuzzy Einstein aggregation operators

2021 ◽  
pp. 1-19
Author(s):  
Wen Sheng
Keyword(s):  
Aggregation Operators ◽  
Weighted Averaging ◽  
Agricultural Product ◽  
Traceability System ◽  
Fuzzy Environment ◽  
Operational Laws ◽  
Shift Invariance ◽  
Algebraic Operations ◽  
Einstein Operations ◽  
Important Branch

Aggregation of q-rung orthopair fuzzy information serves as an important branch of the q-rung orthopair fuzzy set theory, where operations on q-rung orthopair fuzzy values (q-ROFVs) play a crucial role. Recently, aggregation operators on q-ROFVs were established by employing the Einstein operations rather than the algebraic operations. In this paper, we give a further investigation on operations and aggregation operators for q-ROFVs based on the Einstein operational laws. We present the operational principles of Einstein operations over q-ROFVs and compare them with those built on the algebraic operations. The properties of the q-rung orthopair fuzzy Einstein weighted averaging (q-ROFEWA) operator and q-rung orthopair fuzzy Einstein weighted geometric (q-ROFEWG) operator are investigated in detail, such as idempotency, monotonicity, boundedness, shift-invariance and homogeneity. Then, the developed operators are applied to multiattribute decision making problems under the q-rung orthopair fuzzy environment. Finally, an example for selecting the design scheme for a blockchain-based agricultural product traceability system is presented to illustrate the feasibility and effectiveness of the proposed methods.

scholarly journals BCST-APTS: Blockchain and CP-ABE Empowered Data Supervision, Sharing, and Privacy Protection Scheme for Secure and Trusted Agricultural Product Traceability System

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Guofeng Zhang ◽  
Xiao Chen ◽  
Bin Feng ◽  
Xuchao Guo ◽  
Xia Hao ◽  
...  
Keyword(s):  
Access Control ◽  
Privacy Protection ◽  
Data Privacy ◽  
New Technologies ◽  
Agricultural Product ◽  
Control Policies ◽  
Protection Scheme ◽  
Traceability System ◽  
Access Control Policies ◽  
Encrypt Data

Blockchain provides new technologies and ideas for the construction of agricultural product traceability system (APTS). However, if data is stored, supervised, and distributed on a multiparty equal blockchain, it will face major security risks, such as data privacy leakage, unauthorized access, and trust issues. How to protect the privacy of shared data has become a key factor restricting the implementation of this technology. We propose a secure and trusted agricultural product traceability system (BCST-APTS), which is supported by blockchain and CP-ABE encryption technology. It can set access control policies through data attributes and encrypt data on the blockchain. This can not only ensure the confidentiality of the data stored in the blockchain, but also set flexible access control policies for the data. In addition, a whole-chain attribute management infrastructure has been constructed, which can provide personalized attribute encryption services. Furthermore, a reencryption scheme based on ciphertext-policy attribute encryption (RE-CP-ABE) is proposed, which can meet the needs of efficient supervision and sharing of ciphertext data. Finally, the system architecture of the BCST-APTS is designed to successfully solve the problems of mutual trust, privacy protection, fine-grained, and personalized access control between all parties.

From traceability to provenance of agricultural products through blockchain

2020 ◽  
Vol 18 (3) ◽  
pp. 181-189
Author(s):  
Xiong Zhou ◽  
Fang Zheng ◽  
Xujuan Zhou ◽  
Ka Ching Chan ◽  
Raj Gururajan ◽  
...  
Keyword(s):  
Big Data ◽  
Product Safety ◽  
Agricultural Products ◽  
Consumer Acceptance ◽  
Agricultural Product ◽  
Quality And Safety ◽  
Traceability System ◽  
Blockchain Technology ◽  
Technology Platforms ◽  
Product Quality And Safety

As China’s agricultural output has improved, the national and local monitoring system of agricultural product safety has become much better, and monitoring standards have become increasingly strict. Despite this, there are agricultural product safety incidents which have caused consumer panic. One way to address this is by properly establishing tracking systems so that agricultural product logistics in China can be tracked and monitored. We explored this research objective with agricultural traceability and security in mind. One option that could be considered is the blockchain technology. Blockchain could also be used to ascertain the provenance of agricultural products to increase the quality and safety of the Chinese agricultural supply chain. In this context, this research converged on big data and technology, platforms and other means for product quality and safety of agricultural products traceability. In order to verify the accuracy of these three convergence, regression analysis were used to construct five models for verification of three hypothesis. The results show that based on “Internet+”, using big data, big technology and big platform can significantly increase the accuracy of agricultural products traceability system hence improve consumer acceptance of the safety of agricultural products.

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