Halal Food Sustainability between Certification and Blockchain: A Review

Bux, Christian; Varese, Erica; Amicarelli, Vera; Lombardi, Mariarosaria

doi:10.3390/su14042152

Cited by 59 publications

(47 citation statements)

References 76 publications

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“…Researchers have presented various approaches to make (agri-)food supply chains more sustainable, for example, refs. [41,60,79]. Blockchain technology has already been successfully implemented in other agriculture supply chains, such as coffee.…”

Section: Discussionmentioning

confidence: 99%

“…To improve the safety and security of halal food, the authors discussed constraints like standards and opportunities such as improving trust and traceability, as well as creating standard procedures and secure hygiene. Besides this, Bux et al [41] demonstrated how blockchain technology can also contribute to social and environmental sustainability, for example, by reducing chemical product usage in agriculture and manufacturing or increasing the level of customer trust [41]. Blockchain technology can be implemented based on open-source frameworks such as Ethereum or Hyperledger Fabric or using dedicated software solutions such as IBM Food Trust, farmer connect, Agriledger, or Grain Chain, which are particularly designed for agri-food supply chains [43,[50][51][52][53][54].…”

Section: Blockchain Applications In Agri-food Supply Chainsmentioning

confidence: 91%

“…Furthermore, the study of Bux et al [41] investigated the opportunities and limitations of blockchain technology in the supply chain of halal food. To improve the safety and security of halal food, the authors discussed constraints like standards and opportunities such as improving trust and traceability, as well as creating standard procedures and secure hygiene.…”

Section: Blockchain Applications In Agri-food Supply Chainsmentioning

confidence: 99%

See 2 more Smart Citations

Can Blockchain Be a Basis to Ensure Transparency in an Agricultural Supply Chain?

Kraft

Kellner

2022

Sustainability

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Many supply chains within developing countries lack transparency and are fraught with fraud, corruption, and a substantial number of intermediaries. For several decades, the cocoa sector has faced multiple social, economic, and environmental challenges, some of which include the issue of child labor and very low incomes for farmers, leading to poor living conditions. Blockchain technology has a high potential to reduce—or completely eradicate—some of these hurdles. In this article, we present a blockchain-based solution based on the open-source framework Hyperledger Fabric for the cocoa supply chain to promote transparency and reduce fraud. In doing so, we explicitly describe how farmers can be directly integrated into the whole blockchain solution considering the limited infrastructure, knowledge, and technologies available to them. Since about 70% of all cocoa worldwide is produced in West Africa, this case study uses the cocoa sector in Ghana as an example.

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Section: Discussionmentioning

confidence: 99%

Section: Blockchain Applications In Agri-food Supply Chainsmentioning

confidence: 91%

Section: Blockchain Applications In Agri-food Supply Chainsmentioning

confidence: 99%

See 1 more Smart Citation

Can Blockchain Be a Basis to Ensure Transparency in an Agricultural Supply Chain?

Kraft

Kellner

2022

Sustainability

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show abstract

“…Therefore, it is urgent to establish a safe and effective reliable traceability platform for the whole supply chain of grain and oil food, so as to improve the transparency and reliability of participation in all links of the whole supply chain, which can effectively protect the rights and interests of consumers and improve the efficiency of supervision [ 6 ]. In addition, while ensuring the sustainable development of the quality and safety of the entire supply chain of grain and oil food, it also ensures the health of the people [ 7 ]. The traditional grain and oil food traceability systems are mostly centralized models [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Information Traceability Model for the Grain and Oil Food Supply Chain Based on Trusted Identification and Trusted Blockchain

Zhang

Peng

et al. 2022

IJERPH

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The grain and oil food supply chain has a complex structure, long turnover cycles, and many stakeholders, so it is challenging to maintain the security of this supply chain. A reliable traceability system for the whole grain and oil food supply chain will help to improve the quality and safety of these products, thus enhancing people’s living standards. Driven by the trusted blockchain and trusted identity concepts, this paper constructs an information traceability model for the whole grain and oil food supply chain, and it describes how contract implementation and example verification are performed. First, an information traceability model framework of the whole grain and oil food supply chain is established based on the survey and analysis of the grain and oil food supply chain. Second, trusted identification, blockchain master–slave multi-chain storage, and trusted traceability mechanisms are designed. The trusted identification mechanism is used to track the data information of the whole grain and oil food supply chain. The blockchain master–slave multi-chain storage solves the problem of miscellaneous information caused by many links in the whole grain and oil supply chain, while the credible traceability mechanism ensures the credibility of information collection, storage, and transmission. Finally, based on the data flow, the model operation process is analyzed. Using the information traceability model, the grain and oil food trusted traceability system is designed and developed with the Hyperledger Fabric open-source framework, and a case study is conducted to verify the system. The results show that the model and system constructed in this study solve the problems of low data security and poor sharing, which exist widely in the traditional traceability mechanism, and enable the trusted uplink, storage, processing, and traceability of multi-source heterogeneous information in the lifecycle of the whole grain and oil food supply chain. The proposed system improves the granularity and accuracy of grain and oil food traceability, and provides support for the strategic security of grain stock.

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“…However, this technique can lead to some challenges [ 29 ]. Bux et al, conducted a comprehensive literature review assessing the sustainability of halal food, examining the barriers and opportunities provided by authentication and blockchain tools [ 30 ]. Dimensional reduction mapping technology can project multidimensional or high-dimensional data into two or three-dimensional space, display the dataset’s clustering structure and data distribution by scattered graphs, and the clustering result from standard information [ 31 ].…”

Section: Introductionmentioning

confidence: 99%

Food Security: 3D Dynamic Display and Early Warning Platform Construction and Security Strategy

Sun

Tang

Zhang

et al. 2022

IJERPH

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Since it affects a nation’s economy and people’s wellbeing, food security is a crucial national security requirement. In order to realize multi-angle grain data presentation and analysis and achieve the goal of deep mining, we propose a 3D dynamic visualization analysis method of multidimensional agricultural spatial–temporal data based on the self-organizing map. This method realizes the multi-angle display and analysis of grain data and achieves the purpose of deep mining. With the outbreak of COVID-19, the global food security situation is not optimistic, so it is necessary to use the food security early warning system to solve the food security issue. Machine learning has emerged widely in recent years and has been applied in various fields. Therefore, it is an excellent way to solve food security to apply the model in machine learning to construct a food security early warning system. Afterward, a food security early warning platform is developed with a support vector regression (SVR) model to ensure food security. Finally, we analyze China’s medium and long-term food security policy in line with modernization objectives. The experimental results show that the food security early warning platform based on the SVR model from 2007 to 2016 is effective compared with the actual situation every year. Through analyses, we should improve the stability, reliability, and sustainability of food supply, firmly hold the food security initiative, and construct a national food security guarantee system matching the goal of modernization.

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Halal Food Sustainability between Certification and Blockchain: A Review

Cited by 59 publications

References 76 publications

Can Blockchain Be a Basis to Ensure Transparency in an Agricultural Supply Chain?

Can Blockchain Be a Basis to Ensure Transparency in an Agricultural Supply Chain?

Information Traceability Model for the Grain and Oil Food Supply Chain Based on Trusted Identification and Trusted Blockchain

Food Security: 3D Dynamic Display and Early Warning Platform Construction and Security Strategy

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