Safety Traceability Research Articles

SECURING PUBLIC HEALTH: IOT AND BIG DATA IN FOOD SAFETY TRACEABILITY

This research paper investigates the transformative impact of Internet of Things (IoT) technologies on enhancing food safety and quality measurements for public health in the foodindustry. As global demands for diverse and safe food products rise, the integration of innovative technologies becomes crucial. Developing a sensible and trustworthy food safety traceability system and effectively executing traceability are the cornerstones of any solution to these issues. Today, traceability solutions play a critical role in restoring consumer and market trust while guaranteeing food safety and quality. The study explores real-world applications of IoT, focusing on its role in monitoring and managing the entire food production cycle. By interconnecting devices and sensors, IoT emerges as a multifaceted solution that revolutionizes traditional methodologies, promising toelevate safety and quality standards throughout the food supply chain. In the dynamic realm of food production, IoT proves to be a transformative force, providing real-time insights and reshaping how we ensure safety and maintain the quality of the food we consume with food safety traceability.

A food safety traceability system based on trusted double chain

A food safety traceability system based on trusted double chain

Recent advances in metal-organic framework (MOF)-based agricultural sensors for metal ions: a review.

Metal ions have great significance for agricultural development, food safety, and human health. In turn, there exists an imperative need for the development of novel, sensitive, and reliable sensing techniques for various metal ions. Agricultural sensors for the diagnosis of both agricultural safety and nutritional health can establish quality and safety traceability systems of both agro-products and food to guarantee human health, even life safety. Metal-organic frameworks (MOFs) are utilized widely for the design of diversified sensors due to their distinctive structural characteristics and extraordinary opticalandelectrical properties. To serve agricultural sensors better, this review is dedicated to providing a brief overview of the synthesis of MOFs, the modification of MOFs, the fabrication of MOF-based film electrodes, the applications of MOF-based agricultural sensors for metal ions, which are centered on electrochemical sensors and optical sensors, and current challenges of MOF-based agricultural sensors. In addition, this review also provides potential future opportunities for the development and practical application of agricultural sensors.

Integration and Analysis of Data in Grain Quality and Safety Traceability Using Blockchain Technology

Integration and Analysis of Data in Grain Quality and Safety Traceability Using Blockchain Technology

Green ambitions: A comprehensive model for enhanced traceability in agricultural product supply chain to ensure quality and safety

The quality and safety traceability in the supply chain of agricultural products can tackle low safety and poor transparency and improve consumer buying experiences. Despite consumer green ambitions, agricultural product quality and safety traceability are still lacking. The commercial development concept of the entire agricultural product industrial chain under “Internet + agriculture” is combined with consumers' green expectations. Using Python programming, the text data from web pages are analyzed to obtain and construct the Latent Dirichlet Allocation (LDA) model. The paper identifies the factors influencing the quality and safety traceability of the agricultural product industrial chain under consumers’ green demands, improving the existing traceability model. Finally, the study suggests feasible recommendations, including simplifying product packaging, increasing the number of local dealers and sales in the local market, and timely updating authentic and reliable information in the traceability system.

Research on milk powder production and sales management system based on Beidou positioning

Food safety is a major issue related to people's livelihood. In recent years, food safety incidents have emerged in China, and it is urgent to solve the problems in the field of food safety. Food safety traceability is an important means to ensure food safety. At present, BeiDou positioning system has not been widely used in food traceability, and the demand for dynamic food traceability has not been solved. To this end, the paper introduces the application of Beidou positioning technology to milk powder traceability supervision, combined with QR code scanning technology, to design a system that can be dynamically supervised. The product is based on the Beidou positioning system, which mainly includes a low-power Beidou positioning device terminal and a cloud server. The BeiDou locator attached to the bottom of the lid is the main device for all services to be realized, and the current location information of the device is obtained regularly when it is working. Combined with the two-dimensional code technology, it facilitates information entry and reading, and establishes a complete traceability supervision system, including an APP client, which facilitates users to inquire various information about the products. The information of traceability has openness and transparency, data immutability and traceability, so that consumers and food regulatory authorities can know all the information of milk powder from production to sales, and it is convenient to manage and monitor the whole process from production to sales, so that users can consume with confidence.

Construction of Jujube Quality and Safety Traceability System Based on Close Range Wireless Communication Technology

The quality and safety of jujube fruit is the key to ensuring the healthy development of the industry. Currently, there are problems such as unreasonable use of chemical fertilizers and pesticides in the traditional cultivation and management mode of the jujube industry. This article summarizes the construction of jujube quality and safety traceability system based on close range wireless communication technology. The system collects data on the use of pesticides, fertilizers, herbicides, and hormones during jujube production, processing, and circulation through NFC, and determines traceability information through the combination of hazard analysis of hazardous substances and key control points. It has developed a flexible mechanism and method for quality and safety traceability of tropical fruits and vegetables agricultural products, meeting the flexible management and configuration of traceability content, templates, and mechanisms, Realize the convenience of promoting the agricultural product traceability platform, and build an agricultural product quality and safety traceability management system according to the management needs of Hainan Agricultural Hi-Tech Zone, realizing functions such as enterprise settlement, product testing, and traceability information collection. Provide the application of the agricultural product quality and safety traceability system for enterprises settled in the agricultural Hi-Tech Zone, improving the settlement management level, and ensuring the reliability and traceability of agricultural product safety.

Crisis Management Experience from Social Media: Public Response to the Safety Crisis of Imported Aquatic Products in China during the Pandemic

China's outbreak related to cold-chain aquatic product quality and safety in 2020 caused public panic and further led to a crisis in China's aquatic industry. This paper uses topic clustering and emotion analysis methods to text-mine the comments of netizens on Sina Weibo to study the main features of the public's views on the administration's crisis management measures and to provide experience for future imported food safety management. The findings show that for the imported food safety incident and the risk of virus infection, the public response had four types of characteristics: a higher proportion of negative emotion; a wider range of information demand; attention paid to the whole imported food industry chain; and a differentiated attitude towards control policies. Based on the online public response, countermeasures to further improve the management ability of imported food safety crises are proposed as follows: the government should pay active attention to the development trend of online public opinion; work more on exploring the content of public concern and emotion; strengthen the risk assessment of imported food and establish the classification and management measures of imported food safety events; construct the imported food safety traceability system; build a special recall mechanism for imported food safety; and improve the cooperation between government and media, enhancing the public's trust in policies.

Research on Evolutionary Traceability Decision- Making of Quality and Safety Traceability of Stakeholders: Based on the Dual Channel Supply Chain of Agricultural Products

Research on Evolutionary Traceability Decision- Making of Quality and Safety Traceability of Stakeholders: Based on the Dual Channel Supply Chain of Agricultural Products

Marketing data security and privacy protection based on federated gamma in cloud computing environment

This study aims to address the existing data security and user privacy vulnerabilities in the “cloud” environment, which is essential for ensuring the safety and integrity of data in the era of big data and cloud computing. To achieve this purpose, we propose a novel approach that combines the logit link function with a longitudinal joint learning framework for the gamma regression model. This approach enhances the application of the model and the loss function, providing a robust solution for data security and user privacy in cloud-based systems. While cloud computing technology has greatly improved the convenience of work and life, it has also introduced significant challenges related to data security and user privacy. This study leverages semantic web technology and blockchain technology to establish a distributed and credit-guaranteed product quality and safety traceability application. By designing a concept verification system and ensuring data integrity at each stage of the product supply chain, this approach addresses these challenges effectively. The distributed network architecture employed in our technical design ensures overall system stability, reliability, and sustainability, with no single point of failure.

Design and Implementation of Beef Product Quality and Safety Traceability System Based on Blockchain Technology

Design and Implementation of Beef Product Quality and Safety Traceability System Based on Blockchain Technology

Design and Implementation of Intelligent Vegetable Recognition System based on MobileNet

With the rise of food safety traceability, unmanned supermarkets and autonomous shopping, the automatic identification technology of agricultural products such as vegetables in circulation and sales has become an urgent problem. This paper designs an intelligent vegetable identification system based on MobileNet to solve intelligent identification problem of vegetable sales in supermarkets.
 The system includes main control core, visual processing module, pressure sensor, voice broadcasting module and display module. When the system detects that there are vegetables to be weighed, the visual processing module completes the classification of vegetables, broadcasts the name, unit price and total price of vegetables by voice, and displays the weight, unit price and total price by OLED. The machine vision processing module is constructed by deep separable convolution (DSC). It realizes the separation of channels and regions, so it has high computing efficiency and is more suitable for embedded devices with low memory space.
 The experimental results show that the overall recognition rate of five vegetables reaches 97.33% under three kinds of illumination. The system has the advantages of stability, intelligence and convenience.

Research on Blockchain-based Traceability System for Agricultural Products

To solve the problems of the existing agricultural products traceability system data storage security is not high, centralization is serious, data is easy to be tampered with and data trust, as well as to protect the quality and safety of agricultural products, safeguard the rights and interests of consumers and strengthen the supervision of agricultural products industry. In this paper, we propose a research on the safety traceability system of agricultural products based on blockchain on the traceability business process of the existing agricultural products traceability system. The decentralization of blockchain can ensure the immutability, transparency and accuracy of data traceability, solve the problems in traditional agricultural products traceability, improve the safety of agricultural products, and provide strong data support for the supervision of agricultural products industry. The advantages and challenges of implementing blockchain-based agricultural products traceability system are also elaborated, and the important links when applying blockchain technology to agricultural products traceability system are analyzed to provide reference for the research and establishment of blockchain agricultural products traceability system.

Research on Campus Food Safety Traceability System Based on BT Technology

This paper takes BT technology as a carrier and aims to establish a campus food traceability system, taking Qingdao University of Technology as an example to start the research and gradually expand to other universities. The BT technology is applied to the whole process of food sales, including the source of ingredients, food production, food sales, and food prosecution, and the information collected by the BT technology chain is put into the Campus Food Safety App, which not only provides detailed information on the whole process of food purchase from the purchase of ingredients to the purchase of campus personnel, but also provides a platform for students to report food on campus, solving the problem from the root, and making full use of the superiority of the Internet. The app not only provides a platform for students to report food on campus, but also solves the problem at the root, making full use of the superiority of the Internet to build a food traceability platform that reflects the true and high technology amount to ensure campus food safety, forming a complete feedback mechanism and becoming the last link of the campus food safety traceability system.

Construct Food Safety Traceability System for People's Health Under Internet of Things and BIGDATA

Construct Food Safety Traceability System for People's Health Under Internet of Things and BIGDATA

Redefining food safety traceability system through blockchain: findings, challenges and open issues.

In the last few decades, there has been an increase in food safety and traceability issues. To prevent accidents and misconduct, it became essential to establish Food Safety Traceability System (FSTS) to trace the food from producer to consumer. The traceability systems can help track food in supply chains from farms to retail. Numerous technologies such as Radio Frequency Identification (RFID), sensor networks, and data mining have been integrated into traditional food supply chain systems to remove unsafe food products from the chain. But, these are not adequate for the current supply chain market. The emerging technology of blockchain can overcome safety and tracking issues. This can be possible with the help of blockchain features like transparent, decentralized, distributed, and immutable. Most of the previous works missed the discussion of the systematic process and technology involved in implementing the FSTS using blockchain. In this paper, we have discussed an organized state of research of the existing FSTS using blockchain. This survey paper aims to outline a detailed analysis of blockchain technology, FSTS using blockchain, consensus algorithms, security attacks, and solutions. Several survey papers and solutions based on blockchain are included in this research paper. Also, this work discusses some of the open research issues related to FSTS.

Integration of Privacy Protection and Blockchain-Based Food Safety Traceability: Potential and Challenges.

Concern about food safety has become a hot topic, and numerous researchers have come up with various effective solutions. To ensure the safety of food and avoid financial loss, it is important to improve the safety of food information in addition to the quality of food. Additionally, protecting the privacy and security of food can increase food harvests from a technological perspective, reduce industrial pollution, mitigate environmental impacts, and obtain healthier and safer food. Therefore, food traceability is one of the most effective methods available. Collecting and analyzing key information on food traceability, as well as related technology needs, can improve the efficiency of the traceability chain and provide important insights for managers. Technology solutions, such as the Internet of Things (IoT), Artificial Intelligence (AI), Privacy Preservation (PP), and Blockchain (BC), are proposed for food monitoring, traceability, and analysis of collected data, as well as intelligent decision-making, to support the selection of the best solution. However, research on the integration of these technologies is still lacking, especially in the integration of PP with food traceability. To this end, the study provides a systematic review of the use of PP technology in food traceability and identifies the security needs at each stage of food traceability in terms of data flow and technology. Then, the work related to food safety traceability is fully discussed, particularly with regard to the benefits of PP integration. Finally, current developments in the limitations of food traceability are discussed, and some possible suggestions for the adoption of integrated technologies are made.

The Credibility Measurement Model of Food Safety On-chain Data based on Blockchain

<p>Food safety is related to the national economy and people’s livelihood and has always been the focus of the people and the government. Blockchain technology has characteristics of being decentralized, tamper-free, and having underlying openness. It can record and trace product information, prevent data tampering, effectively enhance the transparency of product information, and provide new methods and ideas for food safety traceability. At present, research hotspots mainly focus on the design and construction of a trusted blockchain traceability system, but the provided blockchain traceability system cannot provide a way to verify the authenticity of the information. This paper studies the credibility evaluation model of the members involved in the blockchain and the on-chain data quality model and provides a method to solve the credibility of the on-chain data. Meanwhile, the effectiveness of the method is validated by a case study.</p> <p> </p>

An Exploratory Study on the Design and Management Model of Traditional Chinese Medicine Quality Safety Traceability System Based on Blockchain Technology

Aiming at the problems of long life cycle complex roles of participants, diverse risk factors, poor supervision coverage and difficult information traceability of TCM (Traditional Chinese Medicine) supply chain, this paper constructs a TCM quality safety traceability system based on blockchain technology by analyzing the business process and supervision characteristics of TCM supply chain. Blockchain technology is a new application mode of computer technology such as distributed data storage, peer-to-peer transmission, consensus mechanism, encryption algorithm, and other computer technologies. It has the characteristics of “decentralization, nontampering, transparent and open, and data traceability.” The function of nontampering, hash function, and time stamp can effectively solve the traceability problem of TCM supply chain. Through the analysis of the blockchain TCM traceability principle and network structure, combined with the actual business process of TCM traceability, this paper designs the blockchain TCM quality safety traceability system, analyzes its overall structure, data storage mode, digital signature, consensus algorithm, and main functions, and preliminarily constructs a new model of TCM quality safety traceability management based on blockchain technology. Using blockchain technology to realize the quality safety traceability of TCM, we can complete the omnidirectional, multiangle, and wide coverage of the data and information in whole supply chain of TCM breeding and seedling raising, planting, innovation and research and development, processing of TCM pieces, circulation of TCM, and consumption, so as to realize that the main body of responsibility of TCM can be put on record, the production records can be queried, product flow can be traced, quality safety can be forewarned, main responsibility can be identified, regulatory information can be shared, and product source can be traced.

Construction of a Traceability System for Food Industry Chain Safety Information Based on Internet of Things Technology.

The continuous development of the social economy, has stimulataed an increase in the satndard of living and increased the deman for consumption resulting in the demand for high-quality and safe food has continued to increase. The so-called food safety means that the food that people eat under certain conditions will not harm human health. Frequent food safety incidents have highlighted the seriousness of my country's food safety problems and exposed loopholes in my country's food safety supervision. This article aims to study the construction of the Internet of Things technology in the food industry chain safety information traceability system, research on the RFID technology, GPS technology, and sensor technology in the Internet of things technology, and also conduct some research on the modules of the food industry chain safety information traceability system. This paper proposes to integrate the Internet of Things technology into the construction of the food industry chain safety information traceability system. First, a detailed analysis of some of the technologies that may be used is carried out, and then through the investigation of people on food safety and other aspects, and the food traceability system satisfaction survey. The experimental results in this article show that 40% of women pay more attention to food safety. Of course, in the satisfaction survey of the food safety traceability system based on the Internet of Things technology, it has been recognized by more than 20% of the people.