scholarly journals Research on the Online Spread of Rumors about the Quality and Safety of Agricultural Products in the New Media Era Using an Improved SEIRS Model

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Qunxiang Zhang ◽  
Huilan Fang ◽  
Peng Yao ◽  
Haibin Zhang
Keyword(s):  
New Media ◽  
Product Quality ◽  
Conversion Rate ◽  
Rapid Development ◽  
Agricultural Products ◽  
Agricultural Product ◽  
Quality And Safety ◽  
Cure Rate ◽  
Rate Of Spread ◽  
Product Quality And Safety

The rapid development and dissemination of new media have increased online rumor transmission. Fermentation of some rumors regarding quality and safety of agricultural products has created serious problems that have negatively impacted agriculture in China and the consumption of goods such as poultry. Thus, it is imperative to explore the network dissemination mechanisms regarding how rumors about agricultural product quality and safety spread in the new media era. This study used “fast-growing chicken hormone-boosting” as the base rumor, and it developed an improved SEIRS model to identify the spread of rumors regarding agricultural product quality and safety. This study innovatively introduced a conversion rate and analyzed its impact on the secondary transmission of rumors. Using MATLAB software simulation, the research produced the following findings: an increase in netizens does not affect the threshold of rumor outbreaks; improving the immunity rate of contact netizens and the cure rate of spread netizens is the key to both controlling Internet ru`mors and reducing the contact rate of ordinary netizens. At the same time, an increase in the conversion rate could lead to a secondary outbreak of rumors.

scholarly journals Intelligent Web Information Extraction Model for Agricultural Product Quality and Safety System

2021 ◽  
pp. 99-110
Author(s):  
Mohammad Ali Tofigh ◽  
◽  
◽  
Zhendong Mu
Keyword(s):  
Information Extraction ◽  
Product Quality ◽  
Hot Spot ◽  
Safety System ◽  
Agricultural Product ◽  
Quality And Safety ◽  
Web Information Extraction ◽  
Web Information ◽  
Product Quality And Safety ◽  
The Web

With the development of society, people pay more and more attention to the safety of food, and relevant laws and policies are gradually introduced and being improved. The research and development of agricultural product quality and safety system has become a research hot spot, and how to obtain the Web information of the system effectively and quickly is the focus of the research, so it is essential to carry out the intelligent extraction of Web information for agricultural product quality and safety system. The purpose of this paper is to solve the problem of how to efficiently extract the Web information of the agricultural product quality and safety system. By studying the Web information extraction methods of various systems, the paper makes a detailed analysis and research on how to realize the efficient and intelligent extraction of the Web information of the agricultural product quality and safety system. This paper analyzes in detail all kinds of template information extraction algorithms used at present, and systematically discusses a set of schemes that can automatically extract the Web information of agricultural product quality and safety system according to the template. The research results show that the proposed scheme is a dynamically extensible information extraction system, which can independently implement dynamic configuration templates according to different requirements without changing the code. Compared with the general way, the Web information extraction speed of agricultural product quality safety system is increased by 25%, the accuracy is increased by 12%, and the recall rate is increased by 30%.

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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