Gowtham Ramkumar, Kishori Kasat, Raseem Abdul Khader P, Nawal Muhammed P K ¡ 6 authors
Recently, there has been significant growth in the consumption of the most widely diversified Internet of Things (IoT) technological knowledge, and devices, which has resulted in an impact on not only electrical items and the agricultural and food industries (Agri-Food) supply chain networks. This has sparked intense curiosity about the development of information sharing that is reliable, traceable, and transparent, and also increased significant research and advancement efforts. Existing IoT-based trace & authenticity methods for agri-food distribution networks are constructed on top of centralized architectures, which creates the potential for significant issues such as data security, manipulation, and standard points of weakness. A creative and scraping methodological approach to implementing decentralized trust-free networks is represented by blockchain technologies, the decentralized blockchain technologies that underpin cryptocurrencies. The fault tolerance, data integrity, visibility, and complete tracing of saved transactional data, along with cohesive digital information of property resources and independent transactions implementations, are in fact features built into this digitalization. This study introduces Agri-BlockIoT, a completely decentralized blockchain-based traceable platform for managing a global agro-food distribution network that can seamlessly connect IoT systems that produce and consume digital information all along the distribution chain. We implemented a use caseto achieve transparency and traceability. Lastly, we analyzed and contrasted the implementations' capability in terms of delay, CPU, or network utilization.
Abstract COVIDâ19, which is a global problem, affects the all supply chains throughout the world. One of the supply chains most affected by COVIDâ19 is food supply chains. Since the sustainable food supply chain processes are complex and vulnerable in terms of product variety, it has been negatively affected by the operational effects of COVIDâ19. While the problems experienced in the supply chain processes and raw material constraints caused stops in production, the importance of new business models and production approaches came to the fore. One of the issues of increasing importance is the adoption of reverse logistics activities in sustainable food supply chains and increasing the resilience of food supply chains by integrating blockchain technology into processes. However, adapting blockchain technology to increase the resilience of reverse logistics activities in the food supply chain has advantages as well as risks that need to be considered. Therefore, it is aimed to determine these risks by using fuzzy synthetic evaluation method for eliminating the risks of blockchain adaptation for flexible reverse logistics in food supply chains to increase resiliency. The novelty of this study is that besides discussing about the benefits of BCâT, it is to identify the risks it can create, to eliminate these risks and to guide the establishment of resilience in reverse logistics activities of SFSCs. According to results, the risks with the highest value among the subrisks are determined as data security risks. Data management risks are calculated as the risk with the highest value.
With the development of Agriculture 4.0, the requirements for sustainable agriculture and precision agriculture continue to grow. As one of the three major staple foods globally, the quality and safety of rice affect human health as well as social development. To ensure the quality and safety of rice and reduce the flow of problematic rice, a multi-layer blockchain-based rice supply chain refinement supervision model MBRRSM (Multi-blockchain Rice Refined Supervision Model) is proposed from the information level. First, the characteristics of information flow in the rice supply chain are analyzed, and a classification table of key information is constructed. Second, the MBRRSM framework is designed. Based on a multi-party hybrid encryption algorithm, secure multi-party computing algorithm, multi-mode storage mechanism, and SPOP (Supervision Proof of Peers) consensus algorithm, a set of mechanisms is designed for the transmission, use, storage, and consensus of rice data in MBRRSM. Subsequently, the security and performance capabilities of MBRRSM are analyzed. Meanwhile, the SPOP consensus algorithm is analyzed. Finally, a prototype system is built based on MBRRSM and verified through exemplary scenarios in different usage situations. The results show that research on the refined supervision of the rice supply chain based on multi-blockchain can finely supervise all types of data in the rice supply chain, and provide a guarantee for enterprise users to safely transmit and use data with different privacy levels. This study presents a unique research paradigm that introduces the theories and methods of the new information field generation into the field of agricultural research, and thus assists in the strategy implementation of "holding grain in the land and storing grain in technology".
Conventional food supply chains are centralized in nature and possess challenges pertaining to a single point of failure, product irregularities, quality compromises, and loss of data. Numerous cases of food fraud, contamination, and adulteration are daily reported from multiple parts of India, suggesting the absolute need for an upgraded decentralized supply chain model. A country such as India, where its biggest strength is its demographic dividend, cannot afford to malnutrition a large population of its children by allowing them to consume contaminated and adulterated dairy products. In view of the gravity of the situation, we propose a blockchain-enabled supply chain platform for the dairy industry. With respect to the supply chain platform, the dairy products of choice include milk, cheese, and butter. Blockchain is one of the fastest growing technologies having widespread acceptance across multiple industry verticals. Blockchain possesses the power to transform traditional supply chains into decentralized, robust, transparent, tamper proof, and sustainable supply chains. The proposed supply chain platform goes beyond the aspect of food traceability and focuses on maintaining the nutritional values of dairy products, identification of adulteration and contamination in dairy products, the increasing economic viability of running a dairy farm, preventing counterfeit dairy products, and enhancing the revenue of the dairy company. The paper collates the mentioned functionalities into four distinct impact dimensions: social, economic, operations, and sustainability. The proposed blockchain-enabled dairy supply chain platform combines the use of smart contracts, quick response code (QR code) technology, and IoT and has the potential to redefine the dairy supply chains on socio-economic, operational, and sustainability parameters.
The agri-food supply chain has been a popular research topic in recent years. The combination of a demand for products of high quality and safety standards and the increasing number of stakeholders in supply chain networks has required the agri-food business to transform from vertically integrated to vertically operated supply chain networks. Nevertheless, this traditional agri-food supply chain form has exposure to some drawbacks. Meanwhile, blockchain technology as a disruptive technology today has the potential to provide value-added contributions towards multiple-disciplinary applications. Blockchain technology gains success and proves its functionality in improving the current supply chain by ensuring traceability, transparency and efficiency across the network from farmer to consumer. Therefore, the purpose of this paper is to review the existing literature on vertical coordination in the supply chain and its mechanism and to develop a framework that explores how blockchain technology can address the challenges in coordination mechanisms. Furthermore, taking the current Vietnamese vertical coordination cashew supply chain as a case study, this research is based on the proposed framework to suggest a solution combining blockchain and other relative technologies for the Vietnamese cashew business. This paper will close a research gap, as the blockchain-based supply chain for Vietnam cashew nuts has potential benefits for each supply chain actor in terms of effectiveness in operations, costs and time-saving, and human resources.
By 2050, the worldâs population will have increased by 34%, to more than 9 billion people, needing a 70% increase in food production. Prepare more dishes with fewer ingredients. Therefore, the critical goal of manufacturers is to increase production while being ecologically benign. Supply chain systems that do not enable direct farmer-to-consumer connection and rising input costs influence data collection, security, and sharing. Constraints on data security, manipulation, and single-point failure are unfulfilled due to a lack of centralized IoT agricultural infrastructure. To address these issues, the article proposes a blockchain-based IoT model. This study also shows one-of-a-kind energy savings. The decentralization of data storage improves the supply chainâs transparency and quality through blockchain technology, thus farmers can engage more efficiently. Blockchain technology improves supply chain traceability and security. This article provides a transparent, decentralized blockchain tracking solution and proposes an intelligent model protocol for several Internet of Things (IoT) devices that monitor crop development and the agricultural environment. A new approach has resolved the bulk of the supply chain difficulties. Smart contracts were utilized to organize all transactions in decentralized supply networks. The use of blockchain technology improves transaction quality, and customers may verify the legitimacy of an itemâs authenticity and legality by using the system. A total of 100 IoT nodes were distributed randomly to each 500 m2 cluster farm. The Internet of Things nodes were used to assess soil moisture, temperature, and crop disease. Network stability period and network life of the proposed method show 90.4% accuracy. The food supply chain will be more efficient and trustworthy with an intelligent model. The immutability of ledger technology and smart contract support further increases supply chain security, privacy, transparency, and trust among all stakeholders in the multi-party system. By 2050, the worldâs population will need a 70% increase in food production. The food supply chain will be more efficient and trustworthy with an intelligent model. This article provides a transparent, decentralized, and intelligent model protocol for several Internet of Things (IoT) devices.
A food shortage, which has increased with the climate crisis, will be one of the biggest problems of the world, together with water scarcity, in the future and will damage the sustainability of the food supply system. With the effect of the COVID-19 pandemic, food resources are decreasing, and food prices are rising all over the world. The decrease in food sources increases the importance of food tracking even more. The exorbitant price increases after the COVID-19 pandemic are the most concrete indicators of this. Blockchain-based food tracking systems will be of critical importance because they will prevent exorbitant price increases with their contribution to food tracking processes, such as reliability and transparency. In this study, the establishment of a blockchain-based food tracking system in Turkey, its operation, and its results will be discussed. It was concluded that 97.54% of the participants using the established system found the application useful and wanted such an application to become widespread. In addition, comparing the performance data of the established blockchain-based system with other blockchain infrastructures, a value of 0.038 s for latency is 435 times better than Ethereum, one of the most popular blockchain infrastructures. A transmission per second value of 285, reception per second value of 335, and CPU load rate value of 19.22 are obtained with the proposed system.
Agri-produce holds an inimitable place in human-life across the globe. It is an inevitable requirement of livelihoods across the globe. Advanced technologies to improve multiple aspects of agriculture have been developed in recent years. The blockchain technology (BCT) is among these technologies that is proving to be pivotal in supporting business transactions in today's digitally connected environment. This article explores BCT adoption in the agriculture supply chain while focusing on comparing the trends in developed versus developing economies. The study was geared toward identifying the enabling factors and barriers to BCT adoption in the agriculture supply chain. Data was collected from The Netherlands, United States, Saudi Arabia, and India. The study used the Interpretive Structural Modeling—Decision Making Trial and Evaluation Laboratory in identifying the factors and ranking them based on their extent of influence. While the study found differences of the enabling factors among the four economies, it also identified that policies are the most important enabler of BCT adoption in the agriculture supply chain.
This paper uses the Internet of Things and blockchain-related technologies to combine computer technology to develop a real-time monitoring system for cold chain logistics. The system can grasp the real-time dynamics of the cold chain environment of agricultural products and control them according to the dynamic conditions, which eliminates the blind spots in the cold chain logistics process and also guarantees the quality and safety of fresh agricultural products. This paper optimizes the internal resources of the blockchain system model, proposes an optimization algorithm, and combines the blockchain technology to construct a cold chain logistics model for agricultural products to obtain an embedded cold chain system. Finally, this paper designs an experiment to verify the performance of the system. According to the results of experimental research, the cold chain logistics system of agricultural products based on embedded system and blockchain constructed in this paper can effectively improve the transportation efficiency of agricultural products, and it also has a certain auxiliary effect on the monitoring of agricultural logistics transportation.
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.
This paper explores how Blockchain technology (BCT) can be integrated in the agri-food supply chain (ASC) and how BCT-based networks are formed. To do this, the paper describes a BCT solution, designed to enhance traceability, and analyses its adoption in two small firms. Adopting an interdisciplinary approach and the Actor-Network Theory (ANT), the findings have revealed that BCT improves how data is collected and has changed how firms interact with stakeholders and customers. Firms have enhanced their reputations and started targeting new domestic and international markets. Technical and economic challenges were found when persuading actors to participate in the BCT-based network.
This paper systematically investigates the impact of consumers' health risk perceptions on the purchase intention of blockchain traceable fresh fruits in China. It uses online-survey data collected from four pilot cities that are part of the food traceability system in China. The ordinary least squares (OLS) and the ordered probit model was applied to examine the posited relationships. The results show that consumers' health risk perception has a significant positive effect on the purchase intention of blockchain traceable fresh fruits. The stronger consumers' health risk perception, the stronger their purchase intention of blockchain traceable fresh fruits. Likewise, heterogeneity exists among gender, age, income, and education in their corresponding effect of consumers' health risk perception on blockchain traceable fresh fruit purchase intention. This suggests that male, high-aged, high-income and high-educated groups have a higher health risk perception, and therefore a higher purchase perception for blockchain traceable fresh fruits than female, low-aged, low-income and low-educated, respectively. Furthermore, family structure, consumers' traceability cognition and purchase experience of traceable products affect the purchase intention of blockchain traceable fresh fruits. The study has several insights on the broader promotion, acceptance and development of the food traceability system and provides practical cues for policy and practice.
Food systems are both contributing to and affected by environmental degradation and climate change. The transition towards resilient and sustainable food systems is essential to ensure food security and minimise negative environmental impacts. Innovative technologies can accelerate this transition. Blockchain technology (BCT) is attracting attention as it can deliver transparency to complex global food supply chains and has the potential to guide current food production towards better sustainability and efficiency. This case study investigated the opportunities that BCT can offer to food supply chains. Qualitative interviews with eight main BCT providers were conducted to evaluate the current state of BCT and put it into perspective by mapping out advantages, disadvantages, incentives, motives, and expectations connected to its implementation in global food systems. A thematic analysis showed that, while BCT was considered beneficial by all interviewees, uptake is slow due to high implementation costs and the lack of incentives for companies throughout the food chain from farms to food industry and retail. Results further revealed that the advantages of BCT go beyond communication of trustworthy information and development of closer producerâconsumer relationships. In fact, it can provide the opportunity to decrease food waste, enhance working conditions throughout the supply chain, and promote sustainable consumption habits. As BCT may be increasingly used in the food supply chain, the results give a basis for future research that may leverage both qualitative and quantitative methods to examine actorsâ behaviours. Also, the importance of improving user experiences through functional applications and software to facilitate the adoption of the technology is stressed.
Hana Trollman, Guillermo GarciaâGarcia, Sandeep Jagtap, Frank Trollman
Background: This research aims to identify how blockchain technology could support the ecological embeddedness of the coffee supply chain. Ecological embeddedness is a subset of the circular economy (CE) that demands legitimacy through design changes to product, production and/or packaging for benefits to economic actors and the environment. This is in contrast with legitimacy as a public relations exercise. Blockchain is a digital transformation technology that is not fully conceptualized with respect to supply chain implementation and the related strategy formulation, particularly in the context of sustainability. Furthermore, the integration of consumers into the CE remains not well understood or researched, with the main focus of CE being the cycling of resources. Methods: This research employs a qualitative case study methodology of the first coffee business in the USA to use blockchain technology as an exemplar. Gap analysis is then applied to identify how blockchain could be used to advance from the current state to a more sustainable one. Results: Findings indicate that the implementation of blockchain is not ecologically embedded in the example studied. Conclusions: The extension of blockchain technology to consider the by-products of production and valorizable waste throughout the supply chain as assets would support ecologically embedded CE for coffee.
The primary purpose of the supply chains is to ensure and secure the availability and smooth flow of the necessary resources for efficient production processes and consumption. Supply chain activities have been experiencing significant changes due to the importance and creation of the integrated process. Blockchain is viewed as an innovative tool for transforming supply chain managementâs (SCMâs) actual business model; on the other hand, the SCM provides an applicative value of blockchain technology. The research is focused on examining the influence of blockchain technology on the increasing efficiency, transparency, auditability, traceability, and security issues of the food supply chain (FSC), with particular attention to the local food supply chain (LFSC). The main objective of the research is to suggest the implementation of blockchain technology in the local food supply chain as a niche of the food industry. The result of the research is the identification of a three-layers model of a smart local food supply chain. The model provides efficient and more transparent tracking across the local food supply chain, improving food accessibility, traceability, and safety.
With the growth in food productsâ usage, ensuring their quality and safety has become progressively difficult. Specifically, food traceability turns out to be a very critical task for retailers, sellers, consumers, surveillance authorities, and other stakeholders in the food supply chain system. There are requirements for food authenticity verification (correct declaration of cultivation, origin, and variety), quality checks (e.g., justification for higher prices), and preventing food products from fraudsters in the food industry. The ubiquitous and promising technology of blockchain ensures the traceability of food trade networks with high potential and handles the aforementioned issues. Blockchain makes the food industry more transparent at all levels by storing data immutably and enabling quick tracking across the stages of the food supply chain. Hence, commodities, stakeholders, and semi-finished food items can be recognized significantly faster. Motivated by these facts, in this paper, we present an in-depth survey of state-of-the-art approaches to the food industryâs security, food traceability, and food supply chain management. Further, we propose a blockchain-based secure and decentralized food industry architecture to alleviate security and privacy aspects and present a comprehensive solution taxonomy for a blockchain-based food industry. Then, a comparative analysis of existing approaches with respect to various parameters, i.e., scalability, latency, and food quality, is presented, which facilitates the end-user in selecting approaches based on the merits over other approaches. Finally, we provide insights into the open issues and research challenges with concluding remarks.
The halal industry is constantly developing into a broader concept of the Islamic economy, an economic activity that follows the Islamic-based principle. As a populous Muslim country, Indonesia follows the growth trend by aiming to dominate the global halal market. The strategy is to improve the current halal assurance process. Presently, the technology and procedure do not provide enough process transparency, traceability, and granularity of information. To achieve the strategic goal, a technological change is needed. A new emerging technology, blockchain, may potentially answer the challenge. This studyâs first objective is to discuss improving the current assurance practice in the Indonesian halal supply chain ecosystem, particularly in the meat industry. The second objective is to construct a traceability system model for the supply chain. Our goal is to propose a blockchain-based halal traceability system model. The model can be enhanced to be a national standard tool to develop the economy towards a sustainable supply chain.
Agricultural Food Supply chain management has arisen as an area of day-to-day importance for the agricultural food sector, since stakeholders involved in the execution of decision-making processes. Quality less agricultural products are added to the market in day-to-day life which leads to usage of chemicals in the production process. These leads to the major issues that gives the impact on agricultural productâs quality as well as overall well-being of the consumers. Devices are needed to identify the quality of the food products which are highly demanded due to the lack of transparency in the recent processes. Henceforth Blockchain technology is evolving as a decentralized and secure infrastructure which could replace involvement of a third party to verify the transactions inside the system. The purpose of the proposed work is to implement a Blockchain based solution i.e. constructing a Decentralized Application (DApp) using Hyperledger Fabric framework to verify the food quality and the cause of the agricultural supply chain. A private permissioned Blockchain concept is chosen instead of a public Blockchain in the proposed work to ensure transparency and secure transaction by consenting any person to access the network. Smart contract chain code was instantiated for the deployment of Blockchain network. All the performers who are involved in the supply chain must be able to interact with the system to achieve the transparency. Transaction and queries related to a food product are validated by peers of the Blockchain network. A Barcode & QR code-based scanning mechanism is used to indicate the customerâs satisfaction with their products. Transactions without third party gives Farmerâs reputation for their products. A unique DApp mechanism is used to identify each product within the food supply chain. Thus, the proposed system has been implemented as a prototype and validated using smart contracts.
A Munir, Muhammad Salman Habib, Amjad Hussain, Muhammad Ali Shahbaz ¡ 13 authors
Due to the rapid increase in environmental degradation and depletion of natural resources, the focus of researchers is shifted from economic to socio-environmental problems. Blockchain is a disruptive technology that has the potential to restructure the entire supply chain for sustainable practices. Blockchain is a distributed ledger that provides a digital database for recording all the transactions of the supply chain. The main purpose of this research is to explore the literature relevant to blockchain for sustainable supply chain management. The focus of this review is on the sustainability of the blockchain-based supply chain concerning environmental conservation, social equality, and governance effectiveness. Using a systematic literature review, a total of 136 articles were evaluated and categorized according to the triple bottom-line aspects of sustainability. Challenges and barriers during blockchain adoption in different industrial sectors such as aviation, shipping, agriculture and food, manufacturing, automotive, pharmaceutical, and textile industries were critically examined. This study has not only explored the economic, environmental, and social impacts of blockchain but also highlighted the emerging trends in a circular supply chain with current developments of advanced technologies along with their critical success factors. Furthermore, research areas and gaps in the existing research are discussed, and future research directions are suggested. The findings of this study show that blockchain has the potential to revolutionize the entire supply chain from a sustainability perspective. Blockchain will not only improve the economic sustainability of the supply chain through effective traceability, enhanced visibility through information sharing, transparency in processes, and decentralization of the entire structure but also will help in achieving environmental and social sustainability through resource efficiency, accountability, smart contracts, trust development, and fraud prevention. The study will be helpful for managers and practitioners to understand the procedure of blockchain adoption and to increase the probability of its successful implementation to develop a sustainable supply chain network.
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.
Shoufeng Cao, Marcus Foth, Warwick Powell, Thomas Miller ¡ 5 authors
This paper designed and implemented a blockchain-based multisignature approach to digitally transform supply chain governance in multi-tier food supply chains, particularly in a geographically dispersed beef supply chain. An exploratory case study was utilised to demonstrate the design, implementation, and evaluation of a blockchain-based multisignature approach that was deployed on the Smart Trade Networks (STN) Proof of Authority (PoA) blockchain system for data collection and validation in a beef supply chain context. The multisignature approach was implemented with a use case to track a shipment of 92 cattle and meat products through key events from farm to food service. The use-case deployment records approximately 6000 data points registered on the STN PoA blockchain system. The real-case deployment illustrates the capability of the blockchain-based multisignature approach to digitally improve beef supply chain governance by enabling whole-of-chain transparency and trustworthy information sharing and supports supply chain professionals to have a better understanding of how to unlock blockchain potential for supply chain transformation.