Next Article in Journal
Strengthening of Community Tourism Enterprises as a Means of Sustainable Development in Rural Areas: A Case Study of Community Tourism Development in Chimborazo
Previous Article in Journal
Flexible Goal Programming for Supporting Lake Karla’s (Greece) Sustainable Operation
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Sustainability
Volume 14
Issue 7
10.3390/su14074313
sustainability-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Systematic Review

The Role of Blockchain in Revolutionizing the Agricultural Sector

by
Mohannad Alobid
1,
Said Abujudeh
2,* and
István Szűcs
1
1
Faculty of Economic and Business, Institute of Applied Economic Sciences, University of Debrecen, Böszörményi Street, 138, H-4032 Debrecen, Hungary
2
Department of Engineering Management and Enterprise, Faculty of Engineering, University of Debrecen, Ótemető Street, 2, H-4028 Debrecen, Hungary
*
Author to whom correspondence should be addressed.
Sustainability 2022, 14(7), 4313; https://doi.org/10.3390/su14074313
Submission received: 22 February 2022 / Revised: 23 March 2022 / Accepted: 2 April 2022 / Published: 5 April 2022
(This article belongs to the Section Sustainable Agriculture)
Browse Figures
Versions Notes

Abstract

:
Since blockchain technology has proven to be effective in the development of a wide range of industries, its use in other fields is also being expanded. Agriculture is one such sector, where blockchain technology is being used to improve farm business operations. Today, several agribusiness firms are utilizing technology to improve food supply chain tracking. For example, Farmers Edge, the world’s leading company that revolutionized the field of digital agriculture through its work in providing advanced artificial intelligence solutions, as well as new opportunities that give agriculture a globally advanced future for all stakeholders, has taken a significant step forward. The issue of blockchain network technology and its applications in agriculture will be discussed in this study, as well as the key advantages that this technology can provide, when employed to make the lives of both producers and consumers easier. In addition, a total of 79 research papers were evaluated, with a focus on the state of blockchain technology in agriculture, related issues, and its future importance, as well as relevant contributions to this new technology and the distributions of this study by different countries.

1. Introduction

In domains such as e-commerce, agriculture, public services, and others, little is known about the function of blockchain in operations traceability. As a result, the goal of this study is to discover more about blockchain applications in operations and supply chain management, as well as how companies use blockchain to create and capture commercial value, particularly in agriculture. DLT (Distributed Ledger Technology)/blockchain is an intriguing new technology that has the potential to be a game-changer [1], and, in general, DLT are tamper-resistant and time-stamped databases [2]. They allow several parties to capture, validate, and distribute data over a network in a decentralized, synchronized, and transparent manner, with minimal human participation and intermediate processes [3]. Blockchain has the potential to alter the present economic and commercial paradigms, such as how the steam engine and the Internet sparked past industrial revolutions [4,5].
Many industries, including the financial sector, energy markets, supply chains, intellectual property management, ‘virtual enterprises,’ the public sector, and beyond, could benefit from blockchain technologies. [6]. Its capability to lower transaction costs, inject efficiencies into existing value chains, challenge revenue models, and open new markets is due to its ability to de-intermediate, improve transparency, and boost the ability to listen [7,8].
A blockchain is a distributed database that is shared across a network of computers. It is possible to contribute to the database but not to edit the existing data [9]. The database’s legitimacy is checked on a regular basis by the network. While the most well-known application of blockchain is in the cryptocurrency Bitcoin, it is currently being employed in a variety of other ventures [10]. It is the platform’s core technology that enables the creation of a safe means to record transactions and distribute them to signatories or any other target group with an Internet connection. It is, at its core, a highly democratic ledger that cannot be changed arbitrarily and is easily shared [11,12].
Blockchain offers the potential to improve financial management, origin, traceability, and transparency in food chains, as well as enable the creation of new markets and products, for agriculture in poor countries [13,14], since humanity deserves the best in terms of education, business, health care, and, even, grocery shopping. We always have fresh fruits and vegetables, dairy, and meat to live a healthy and delightful life, thanks to agricultural advancements.
However, have you ever been puzzled about the nutritional value of the food we buy? Was it sourced from reputable growers? What about the conditions of transit and storage? Is the quality, above all, commensurate with the price? Perhaps the answer has been found, thanks to technological advancements and the blockchain business.
The goal of this research was to broaden and deepen understanding of blockchain network technology and its applications in agriculture. That is in addition to the significant benefits that this technology may provide, when used to make the lives of both producers and customers easier. Whereby, a total of 144 research papers were retrieved from Web of Science database as targeted publications for a systematic review, with a focus on the state of blockchain technology in agriculture and related concerns, their contribution to this new technology, the distributions of this study by country, and blockchain’s future importance, which are also discussed in this paper.
As a result, the research is separated into two primary sections:
First, exploring the use and benefits of blockchain in agriculture, as well as some real-world instances of blockchain applications.
Second, inside a few selected studies, a thorough systematic review was conducted to clarify the state of blockchain technology in agriculture. By following specific search criteria, in which two main keywords were chosen, ”blockchain” and “agriculture”. In addition, only English articles that had been published by specific publishers were included.

2. Fundamentals

2.1. The Use of Blockchain in Agriculture

The transmission of encrypted information is vital to every part of our modern life. Agricultural stakeholders want their personal data to be stored securely and not disclosed to third party companies and persons. That is exactly what blockchain provides—the effective protection and secure exchange of data [15,16]. Since the information in the network is written in blocks, it cannot be easily modified or read if access is not permitted. Moreover, all data are stored on decentralized networks that reduce the risks of hacking and fraudulent activity [17].
Currently, the blockchain network is predominately used in the financial field to monitor and confirm transactions as well as improve their speed and security [18]. The banks that have tested this technology appear to be quite satisfied with the results. Blockchain also helps with document verification and confirmation, as well as helping to speed up logistics processes [19].
However, how useful is a blockchain for agriculture? As mentioned, the network is great for accelerating and securing financial transactions—in the same way that it may help solve problems related to the financing of agricultural projects and lead to the further development of the entire industry [8,20]. The blockchain allows to control and accelerate the daily operations of the industry such as production, transportation, food processing, storage, and sale [21]. Blockchain technology is also great at solving problems related to the growing population, and, thus, the demand for food and the demand for quality products: first, logistics can be efficiently organized, and financing can be purchased using this network. Second, blockchain can be useful in determining food quality and preventing fraud [22,23].
In addition, the blockchain has a significant impact on the arrangement of the supply chain as a transparent and secure data exchange network that greatly simplifies cooperation between farmers, carriers, and customers [24]. This is vital for products with short expiration periods, as it helps reduce expenses and, therefore, the overall price of these products. When using the system, the farmer must enter all the details about the products they sell, as no one can remove or modify them, and, therefore [25], it will not be possible to sell the same dozen eggs twice—the system will detect fraud from other users. In addition, if the farmer is required to enter all product details, the system may be vulnerable to the submission of fraudulent or wrong data, which will become immutable [22].

2.2. The Benefits of Using Blockchain in Agriculture

The blockchain approach alone does not guarantee that farmers’ income or beef quality will improve. The technology, instead, is rather a tool for automation, traceability, quality assurance, and more. With this technology, improvements in this area can be experienced [14]. The blockchain network may have some advantages when applied correctly in various industries, including the agricultural sector. For example, these benefits could be explained as the following:
  • Transparent supplemented
Some customers want to know where the food they buy is grown, how it is delivered to the store, and whether the products meet quality standards. Due to blockchain technology, this information is accessible, and customers understand that it cannot be modified or hidden invisibly [22]. In this approach, if a QR code label is placed on, say, a beef package, the consumer may verify not only the animal’s living conditions but also the shipping data, storage duration, and many more details [26,27].
  • Secure system
The data on the blockchain network cannot be changed without the permission of both the seller and the buyer [28]. As a result of this technique, a dependable system that protects users from fraudsters and prevents fraud is created, which is a kind of system that is trustworthy to its users. The dependable system requires that the system be highly available (to legitimate users) while ensuring a high degree of service integrity [29]. For example, it is difficult to make a price decrease or increase without first discussing the pricing and finding a qualified team of software developers with reasonable rates reasonable portfolio that includes agricultural experience. For example, the company should be able to provide a well-designed and high-quality product with the required set of data records [30].
  • Encourage investment
Owning a small business is often difficult. Finding loyal customers and establishing operations takes one to two years, and it can be challenging. Using blockchain technologies, small farm owners will be able to find investors and improve their business with the help of the Initial Coin Offering program (ICO), which is a type of funding similar to crowdfunding, with crypto currencies instead of regular payments [31]. All that needs to be done to turn ideas into reality is to convince people to invest in the project, although ICO is not regulated and guaranteed by the government, so startups do not need to cover additional legal expenses or hire a lawyer [32].
  • Implementation of smart contracts
Smart contracts are written code developed by software developers that are connected into the network, and the technology itself considerably simplifies the process of delivering food and collecting the payment. Farmers do not have to wait weeks or months for their money to be returned; transactions are performed immediately, once the products are available. Furthermore, there are no intermediaries involved. As a result, farmers and their clients may be assured that all obligations are met [8].
  • Stock market for farmers
Blockchain technology is represented on exchanges as well. Their operations remain the same, however, and stock markets can now benefit from the blockchain. Farmers can easily trade upcoming contracts at fixed prices for crops, livestock, fruits, vegetables, and other agricultural products. As a result, farmers will know their cost, and customers will not be surprised by price changes [13].
  • Agricultural cryptocurrency
Blockchain technology is often used in the context of Bitcoin and other cryptocurrencies. So, when it comes to the agricultural field, the PavoCoin—a digital currency similar to Bitcoin, developed and designed specifically for farmers. It provides a secure payment method throughout the entire system. The currency is used to increase transparency as well as speed up and simplify customer interactions [33].

2.3. Blockchain Use Cases

The advantages of using blockchain in agriculture have been explored, so it is time to talk about how the technology can be used in this field.
  • Trace the food source
Stores must maintain all required certificates and other documents that may be requested when purchasing food or other products. However, these documents do not say for sure whether it was a sick chicken or cow, how it was fed, and so on. In the future, blockchain networks should enable users to find all relevant details regarding food production and transportation, thus saving them time when researching the history of the products purchased [34].
The blockchain system maintains all records without hidden modification, and a full description of the food’s origins will be received—right on the smartphone, which is fast and easy. Thus, increasing the probability that the food purchased is safe and healthy [34].
For example, the technology is used by Walmart to supply livestock products from China and mangoes from Mexico to the United States. Walmart and IBM are currently working on a blockchain-based agricultural supply chain to apply transparency for retail customers [35]. The system encourages all parts of the “food chain” (farmers, suppliers, businesses, etc.) to enter their data into a single database based on the blockchain network.
The number of agricultural and food companies using the system is increasing daily [36]. For example, IBM worked with ten of the world’s largest consumer goods and food firms to integrate blockchain into their supply chains. Walmart, Nestle, Unilever, McCormick, Tyson, Kroger, McLane, Driscoll’s, Dole, and Golden State Foods [37] are among the companies that collectively generate more than half a trillion dollars in yearly global sales, so IBM’s blockchain platform will assist food industries in increasing supply chain visibility and traceability as a result of the agreement. Maybe some of those companies will soon start accepting payments in Bitcoin and other cryptocurrencies [38].
  • Prevent counterfeiting of raw materials
It is impossible to grow healthy livestock or plants if the purchased seeds and grains are of unsuitable quality. Moreover, low-quality materials may affect the farmers’ business and lead to large expenditures [39]. Certainly, both small and big farmers are interested in buying quality products, and this is where the blockchain system comes into play [14]. This way, in the event that suppliers provide low-quality seeds, this information will be reflected in the network for other users to see. Not only customers, but also the farmers themselves, will be able to check all the black spots of the product they are going to buy, enabling farmers to make more informed purchased decisions.
The IBM blockchain technology used by the extension, for example, is predicated on transparency, revealing farmers’ records and locating their produce in real time. Records reflecting the flow and conditions of product transportation may be examined, as well as sources checked and vital ingredients used, plus many other facts can be known with the help of this platform [14,22].
  • Decentralized organizations
Small businesses and utilities are being displaced as large corporations gain a larger portion of the market. Companies dictate terms to small farmers, deciding what to cultivate, how to grow it, setting pricing, and so on. Farmers that rely on these clients and suppliers are not allowed to set their own terms because they risk losing too many orders. It is feasible that we will see a situation where the blockchain system allows for rule changes in the near future. Small firms can work directly with new clients, find permanent employment, receive finances, and, perhaps, create their own conditions of operation in this environment. In addition, consumers may receive high-quality products at reasonable prices while being confident that they are secure [40,41]. Not to mention, there are other obstacles in agribusiness, such as transportation and distribution, which are handled by traders.
  • The quality controls
The combination of IoT technology and the blockchain network provides a secure storage system for information about livestock, crops, and other aspects. Using specific sensors, soil quality, a variety of pests, irrigation, and many other factors can be monitored on special phones or tablets [42]. These sensors send collected data to the cloud storage in the blockchain [43].
The Flux development team (an Israeli company) is currently working on a blockchain-based solution with the goal of creating a combination of IoT technology and artificial intelligence [44]. Eddy, the world’s first Growbot developed by Flux, is specifically designed to ensure successful harvests and increased yields.

3. Materials and Methods

The literature search was conducted on 10 November 2021. The Web of Science database was selected as a fundamental database for this systematic review. However, extra sources were used in this article but were not included in the systematic review, as these sources were used only in clarifying the background of the research topic. This study uses the following search criteria:
  • The document must be related in the research topic “blockchain in agriculture”.
  • The terms “blockchain” and “agriculture” must be mentioned in the topic.
  • The terms “blockchain” and “agriculture” must be mentioned in the abstract.
  • The year of publication must be between 1 January 2015 and 31 December 2021.
Following this search criteria, the search query produced 144 results. As a primary step in evaluating the quality of the included scientific publication, specific criteria were used as follows: (a) the language of the document must be English; (b) the types of the document include review article, research article, and early access; and (c) only documents published by Elsevier, IEEE, Mdpi, Springer Nature, Wiley, Frontiers Media Sa, Emerald Group Publishing, and Taylor & Francis were included.
This primary screening step suggested to keep 79 scientific publications to be targeted in the secondary screening step, in which 17 were a review article type and 62 were a research article type. From this publication, 7 were tagged as early access. The full text of each publication was fully reviewed for qualification. The characteristics of the selected document in terms of its publishers is revealed in Table 1.
In addition, Figure 1 shows the country-related trend of the primary-screened publications, in which the majority of them are from China, India, England, and the USA.
Since this review is more focused on the situation of blockchain technology in agriculture sector and its related issues, 27 publications were removed after the full text review because their main objectives were not related to the agriculture sector. Eventually, 52 scientific publications were included in the analysis. Figure 2 explains the PRISMA 2020 flow diagram.
An Excel sheet table was created for the 52 publications that are included in the quantitative analysis. For each publication, the main keywords, main contribution, and key results were documented. Based on this table, the findings were summarized and compared by both authors.

4. Results

The summary of the qualitative review for the screened scientific publication is presented in Table 2. As for each selected publication, firstly, the main keywords used in the topic have been recorded, in which the keywords might facilitate new researchers in finding the most common keywords in the blockchain on an agriculture topic faster. Secondly, each publication’s main objective and contribution were recorded, to make it easier to get to know the core value of each publication. The contributions of the screened publications covered the topic from several aspects, such as blockchain application in agriculture, agriculture blockchain based modeling, and the benefits and challenges of blockchain implementation in the agriculture sector.

5. Discussions

Distributed ledger and smart contract technologies to open the door to a unique opportunity towards greater efficiency, transparency, and traceability of value—and information-sharing activities within the agricultural sector. These technologies can improve agricultural supply chains and develop rural development interventions in several ways, through the use of digital records, encryption, and completing transactions and storing data without intermediaries [95]. These technologies also have the potential to simplify and integrate agricultural supply chains, improve food safety, facilitate access to business financing and other forms of agricultural financing, improve market transparency (while increasing legal certainty about land tenure systems), and enhance accountability relating to compliance with international agreements related to agriculture [14].
Moreover, customers and stockholders are increasingly interested in not just the origin of food, but also suppliers and their destinations, and the blockchain may ensure all of this. Agriculture is currently the market sector that can profit the most from adopting the blockchain. The blockchain is a distributed, unchangeable ledger that makes it easier to record transactions and track assets in a corporate network. It also delivers real-time, transparent data in a non-modifiable format [25]. In other words, it ensures that orders, payments, accounts, and, most importantly, production are all tracked, giving shareholders and customers more trust.
The blockchain also enables the collection of a significant amount of data, ranging from seed quality to crop growth and, even, to the distribution path, resulting in process transparency and protection for producers that use environmentally good practices but are sometimes financially disadvantaged [70].
Furthermore, blockchain is one of the many technologies that the agriculture sector is incorporating into its smart agriculture strategy. In order to ensure precision farming and food safety, a system that facilitates and maintains data must be developed [8].
Farmers and producers should consider taking advantage of this opportunity, since those that participate in the blockchain may be able to boost their competitiveness in the consumer product market.

6. Conclusions

The application of blockchain agriculture is still in the early stage, although there are ongoing research, projects, and initiatives to gain the most benefits of introducing blockchain-based technology in agriculture. These ongoing processes are centered around topics such as traceability, transparency, creditability, and auditability of agricultural data via blockchain based technology. Moreover, they are developing useful models or applications that can be used to improve the performance of the agriculture sector.
This research provided a summary of the qualitative review for the screened scientific article, with the goal of facilitating research and future in-depth research for academics interested in blockchain, particularly in the agriculture sector. First, the primary keywords used in the topic were recorded for each selected publication, which may aid new researchers in locating the most popular keywords in the blockchain in the agricultural topics more quickly. Second, the major purpose and contribution for each publication were also noted, making it easy to understand the fundamental value of each publication.
It can be seen that by drawing the line, blockchain networks are gaining increased traction each year. Blockchain technology has already been adopted in a number of areas of our lives, making things easier and more comfortable for us. Many services that rely on “behind the scenes” blockchain technology will become widely used, just as computer abilities have become widespread without an awareness of the technology behind computing operations.
Additionally, farmers and customers can easily discover each other, interact, make a profit, and, of course, develop and deliver safe and healthy food to our homes, thanks to the usage of blockchain in agriculture. However, several challenges and gaps in the literature remain about the usefulness of and reliability on blockchain technology in agriculture business. Two of these challenges include the complexity and operating cost at the microlevel, as well as the regulation that should be developed to govern the safe use of this growing technology in a vital sector such as the agriculture sector.

Author Contributions

Conceptualization, M.A. and S.A.; methodology, M.A. and S.A.; software, M.A. and S.A.; validation, M.A.; formal analysis, M.A. and S.A.; investigation, M.A. and S.A.; resources, M.A. and S.A.; data curation, M.A. and S.A.; writing–original draft preparation, M.A.; writing–review and editing, M.A. and S.A.; visualization, I.S. and M.A.; supervision, I.S.; project administration, M.A. and S.A.; funding acquisition, I.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Given that no new data were created or analyzed in this study, data sharing is not applicable in this article.

Acknowledgments

We want to thank Forest David for his support. In addition, we want to mention that this publication was supported by the construction EFOP-3.6.3-VEKOP-16-2017-00007 (“Young researchers from talented students—supporting scientific career in research activities in higher education”). The project was supported by the European Union, co-financed by the European Social Fund.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Demirkan, S.; Demirkan, I.; McKee, A. Blockchain technology in the future of business cyber security and accounting. J. Manag. Anal. 2020, 7, 189–208. [Google Scholar] [CrossRef]
  2. Westerlund, M.; Neovius, M.; Pulkkis, G. Providing tamper-resistant audit trails with distributed ledger based solutions for forensics of IOT systems using cloud resources. Int. J. Adv. Secur. 2018, 11, 3–4. [Google Scholar]
  3. Dutta, P.; Choi, T.-M.; Somani, S.; Butala, R. Blockchain technology in supply chain operations: Applications, challenges and research opportunities. Transp. Res. Part E Logist. Transp. Rev. 2020, 142, 102067. [Google Scholar] [CrossRef] [PubMed]
  4. Schwab, K. The Fourth Industrial Revolution; Currency: New York, NY, USA, 2017. [Google Scholar]
  5. Justinia, T. Blockchain technologies: Opportunities for solving real-world problems in healthcare and biomedical sciences. Acta Inform. Med. 2019, 27, 284. [Google Scholar] [CrossRef] [PubMed]
  6. Niforos, M. Blockchain in Development: Part I—A New Mechanism of Trust? The World Bank: Washington, DC, USA, 2017. [Google Scholar]
  7. Tian, F. An agri-food supply chain traceability system for China based on RFID & blockchain technology. In Proceedings of the 2016 13th International Conference on Service Systems and Service Management (ICSSSM), Kunming, China, 24–26 June 2016. [Google Scholar]
  8. Xiong, H.; Dalhaus, T.; Wang, P.Q.; Huang, J.J. Blockchain Technology for Agriculture: Applications and Rationale. Front. Blockchain 2020, 3, 7. [Google Scholar] [CrossRef] [Green Version]
  9. Schinckus, C. The good, the bad and the ugly: An overview of the sustainability of blockchain technology. Energy Res. Soc. Sci. 2020, 69, 101614. [Google Scholar] [CrossRef]
  10. Wright, A.; De Filippi, P. Decentralized blockchain technology and the rise of lex cryptographia. SSRN Electron. J. 2015. [Google Scholar] [CrossRef] [Green Version]
  11. Peters, G.W.; Panayi, E. Understanding modern banking ledgers through blockchain technologies: Future of transaction processing and smart contracts on the internet of money. In Banking beyond Banks and Money; Springer: Berlin/Heidelberg, Germany, 2016; pp. 239–278. [Google Scholar]
  12. Panarello, A.; Tapas, N.; Merlino, G.; Longo, F.; Puliafito, A. Blockchain and iot integration: A systematic survey. Sensors 2018, 18, 2575. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Kamilaris, A.; Fonts, A.; Prenafeta-Boldu, F.X. The rise of blockchain technology in agriculture and food supply chains. Trends Food Sci. Technol. 2019, 91, 640–652. [Google Scholar] [CrossRef] [Green Version]
  14. Tripoli, M.; Schmidhuber, J. Emerging Opportunities for the Application of Blockchain in the Agri-food Industry; Licence: CC, BY-NC-SA; FAO: Rome, Italy; ICTSD: Geneva, Switzerland, 2018; Volume 3. [Google Scholar]
  15. Mohammed, I.A. A systematic literature mapping on secure identity management using blockchain technology. Int. J. Innov. Eng. Res. Technol. 2019, 6, 86–91. [Google Scholar]
  16. De Filippi, P. The interplay between decentralization and privacy: The case of blockchain technologies. J. Peer Prod. Issue 2016, 14, 1–20. [Google Scholar]
  17. Yaga, D.; Mell, P.; Roby, N.; Scarfone, K. Blockchain technology overview. arXiv 2019, arXiv:1906.11078. [Google Scholar]
  18. Kotilevets, I.; Ivanova, I.; Romanov, I.; Magomedov, S.; Nikonov, V.; Pavelev, S. Implementation of directed acyclic graph in blockchain network to improve security and speed of transactions. IFAC Pap. 2018, 51, 693–696. [Google Scholar] [CrossRef]
  19. Gausdal, A.H.; Czachorowski, K.V.; Solesvik, M.Z. Applying blockchain technology: Evidence from Norwegian companies. Sustainability 2018, 10, 1985. [Google Scholar] [CrossRef] [Green Version]
  20. Lin, W.; Huang, X.; Fang, H.; Wang, V.; Hua, Y.; Wang, J.; Yin, H.; Yi, D.; Yau, L. Blockchain technology in current agricultural systems: From techniques to applications. IEEE Access 2020, 8, 143920–143937. [Google Scholar] [CrossRef]
  21. Wang, H.; Zhang, M.; Ying, H.; Zhao, X. The impact of blockchain technology on consumer behavior: A multimethod study. J. Manag. Anal. 2021, 8, 371–390. [Google Scholar] [CrossRef]
  22. Galvez, J.F.; Mejuto, J.C.; Simal-Gandara, J. Future challenges on the use of blockchain for food traceability analysis. TrAC Trends Anal. Chem. 2018, 107, 222–232. [Google Scholar] [CrossRef]
  23. Duan, J.; Zhang, C.; Gong, Y.; Brown, S.; Li, Z. A content-analysis based literature review in blockchain adoption within food supply chain. Int. J. Environ. Res. Public Health 2020, 17, 1784. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Rejeb, A.; Keogh, J.G.; Zailani, S.; Treiblmaier, H.; Rejeb, K. Blockchain technology in the food industry: A review of potentials, challenges and future research directions. Logistics 2020, 4, 27. [Google Scholar] [CrossRef]
  25. Xu, J.; Guo, S.; Xie, D.; Yan, Y. Blockchain: A new safeguard for agri-foods. Artif. Intell. Agric. 2020, 4, 153–161. [Google Scholar] [CrossRef]
  26. Colomberotto, A. Blockchain Technology in Meat Supply Chain: Operational and Economic Implications; Università Ca’Foscari Venezia: Venice, Italy, 2020. [Google Scholar]
  27. Ganne, E. Can Blockchain Revolutionize International Trade? World Trade Organization: Geneva, Switzerland, 2018. [Google Scholar]
  28. Zhang, R.; Xue, R.; Liu, L. Security and privacy on blockchain. ACM Comput. Surv. (CSUR) 2019, 52, 1–34. [Google Scholar] [CrossRef] [Green Version]
  29. Casino, F.; Dasaklis, T.K.; Patsakis, C. A systematic literature review of blockchain-based applications: Current status, classification and open issues. Telemat. Inform. 2019, 36, 55–81. [Google Scholar] [CrossRef]
  30. Blanchard, D. Supply Chain Management Best Practices; John Wiley & Sons: Hoboken, NJ, USA, 2021. [Google Scholar]
  31. Ante, L.; Sandner, P.; Fiedler, I. Blockchain-based ICOs: Pure hype or the dawn of a new era of startup financing? J. Risk Financ. Manag. 2018, 11, 80. [Google Scholar] [CrossRef] [Green Version]
  32. Chohan, U.W. Initial coin offerings (ICOs): Risks, regulation, and accountability. In Cryptofinance and Mechanisms of Exchange; Springer: Berlin/Heidelberg, Germany, 2019; pp. 165–177. [Google Scholar]
  33. Vishakha, N.S.; Bhushan, B.; Kaushik, I. Blockchain-based Cultivating Ideas for Growth: A New Agronomics Perspective. Blockchain Appl. Secur. IoT Framew. Technol. Shap. Future 2021, 1, 195. [Google Scholar]
  34. Xu, Y.; Li, X.; Zeng, X.; Cao, J.; Jiang, W. Application of blockchain technology in food safety control: Current trends and future prospects. Crit. Rev. Food Sci. Nutr. 2020, 62, 1–20. [Google Scholar]
  35. Astill, J.; Dara, R.A.; Campbell, M.; Farber, J.M.; Fraser, E.D.; Sharif, S.; Yada, R.Y. Transparency in food supply chains: A review of enabling technology solutions. Trends Food Sci. Technol. 2019, 91, 240–247. [Google Scholar] [CrossRef]
  36. Pham, H. The Impact of Blockchain Technology on the Improvement of Food Supply Chain Management: Transparency and Traceability: A Case Study of Walmart and Atria. BSc. Thesis, Seinäjoki University of Applied Sciences, Seinäjoki, Finland, 2018; pp. 1–96. [Google Scholar]
  37. Wang, Y.; Han, J.H.; Beynon-Davies, P. Understanding blockchain technology for future supply chains: A systematic literature review and research agenda. Supply Chain. Manag. Int. J. 2019, 91, 240–247. [Google Scholar] [CrossRef]
  38. Blockchain, I. IBM Food Trust-A New Era for the World’s Food Supply. Available online: https://www.ibm.com/blockchain/solutions/food-trust. (accessed on 31 August 2019).
  39. Christensen, C.M.; Meronuck, R.A. Quality Maintenance in Stored Grains and Seeds; U of Minnesota Press: Minneapolis, MN, USA, 1986. [Google Scholar]
  40. Arun, J.S.; Cuomo, J.; Gaur, N. Blockchain for Business; Addison-Wesley Professional: Boston, MA, USA, 2019. [Google Scholar]
  41. Waller, M.A.; Van Hoek, R.; Davletshin, M.; Fugate, B. Integrating Blockchain into Supply Chain Management: A Toolkit for Practical Implementation; Kogan Page Publishers: London, UK, 2019. [Google Scholar]
  42. Shi, X.; An, X.; Zhao, Q.; Liu, H.; Xia, L.; Sun, X.; Guo, Y. State-of-the-art internet of things in protected agriculture. Sensors 2019, 19, 1833. [Google Scholar] [CrossRef] [Green Version]
  43. Boursianis, A.D.; Papadopoulou, M.S.; Diamantoulakis, P.; Liopa-Tsakalidi, A.; Barouchas, P.; Salahas, G.; Karagiannidis, G.; Wan, S.; Goudos, S.K. Internet of things (IoT) and agricultural unmanned aerial vehicles (UAVs) in smart farming: A comprehensive review. Internet Things 2020, 100187. [Google Scholar] [CrossRef]
  44. Banafa, A. Secure and Smart Internet of Things (IoT): Using Blockchain and Artificial Intelligence (AI); Stylus Publishing, LLC: Sterling, VA, USA, 2019. [Google Scholar]
  45. Page, M.J.; Moher, D.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. BMJ 2021, 372, n160. [Google Scholar] [CrossRef]
  46. Lin, Y.P.; Petway, J.R.; Anthony, J.; Mukhtar, H.; Liao, S.W.; Chou, C.F.; Ho, Y.F. Blockchain: The Evolutionary Next Step for ICT E-Agriculture. Environments 2017, 4, 50. [Google Scholar] [CrossRef]
  47. Antonucci, F.; Figorilli, S.; Costa, C.; Pallottino, F.; Raso, L.; Menesatti, P. A review on blockchain applications in the agri-food sector. J. Sci. Food Agric. 2019, 99, 6129–6138. [Google Scholar] [CrossRef]
  48. Salah, K.; Nizamuddin, N.; Jayaraman, R.; Omar, M. Blockchain-Based Soybean Traceability in Agricultural Supply Chain. IEEE Access 2019, 7, 73295–73305. [Google Scholar] [CrossRef]
  49. Shih, D.H.; Lu, K.C.; Shih, Y.T.; Shih, P.Y. A Simulated Organic Vegetable Production and Marketing Environment by Using Ethereum. Electronics 2019, 8, 1341. [Google Scholar] [CrossRef] [Green Version]
  50. Torky, M.; Hassanein, A.E. Integrating blockchain and the internet of things in precision agriculture: Analysis, opportunities, and challenges. Comput. Electron. Agric. 2020, 178, 23. [Google Scholar] [CrossRef]
  51. Li, X.H.; Wang, D.B.; Li, M.L. Convenience analysis of sustainable E-agriculture based on blockchain technology. J. Clean Prod. 2020, 271, 9. [Google Scholar] [CrossRef]
  52. Iqbal, R.; Butt, T.A. Safe farming as a service of blockchain-based supply chain management for improved transparency. Clust. Comput. 2020, 23, 2139–2150. [Google Scholar] [CrossRef]
  53. Hang, L.; Ullah, I.; Kim, D.H. A secure fish farm platform based on blockchain for agriculture data integrity. Comput. Electron. Agric. 2020, 170, 15. [Google Scholar] [CrossRef]
  54. Ferrag, M.A.; Shu, L.; Yang, X.; Derhab, A.; Maglaras, L. Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges. IEEE Access 2020, 8, 32031–32053. [Google Scholar] [CrossRef]
  55. Raboaca, M.S.; Bizon, N.; Trufin, C.; Enescu, F.M. Efficient and Secure Strategy for Energy Systems of Interconnected Farmers’ Associations to Meet Variable Energy Demand. Mathematics 2020, 8, 2182. [Google Scholar] [CrossRef]
  56. Yadav, V.S.; Singh, A.R.; Raut, R.D.; Govindarajan, U.H. Blockchain technology adoption barriers in the Indian agricultural supply chain: An integrated approach. Resour. Conserv. Recycl. 2020, 161, 15. [Google Scholar] [CrossRef]
  57. Zhang, X.H.; Cao, Z.Y.; Dong, W.B. Overview of Edge Computing in the Agricultural Internet of Things: Key Technologies, Applications, Challenges. IEEE Access 2020, 8, 141748–141761. [Google Scholar] [CrossRef]
  58. Shahid, A.; Almogren, A.; Javaid, N.; Al-Zahrani, F.A.; Zuair, M.; Alam, M. Blockchain-Based Agri-Food Supply Chain: A Complete Solution. Ieee Access 2020, 8, 69230–69243. [Google Scholar] [CrossRef]
  59. Osmanoglu, M.; Tugrul, B.; Dogantuna, T.; Bostanci, E. An Effective Yield Estimation System Based on Blockchain Technology. IEEE Trans. Eng. Manage. 2020, 67, 1157–1168. [Google Scholar] [CrossRef]
  60. Sharma, R.; Kamble, S.S.; Gunasekaran, A.; Kumar, V.; Kumar, A. A systematic literature review on machine learning applications for sustainable agriculture supply chain performance. Comput. Oper. Res. 2020, 119, 17. [Google Scholar] [CrossRef]
  61. Chen, Y.Y.; Li, Y.; Li, C.J. Electronic agriculture, blockchain and digital agricultural democratization: Origin, theory and application. J. Clean Prod. 2020, 268, 15. [Google Scholar] [CrossRef]
  62. Demestichas, K.; Peppes, N.; Alexakis, T.; Adamopoulou, E. Blockchain in Agriculture Traceability Systems: A Review. Appl. Sci. 2020, 10, 4113. [Google Scholar] [CrossRef]
  63. Kamble, S.S.; Gunasekaran, A.; Sharma, R. Modeling the blockchain enabled traceability in agriculture supply chain. Int. J. Inf. Manag. 2020, 52, 16. [Google Scholar] [CrossRef]
  64. Sengupta, U.; Kim, H.M. Meeting Changing Customer Requirements in Food and Agriculture Through the Application of Blockchain Technology. Front. Blockchain 2021, 4, 10. [Google Scholar] [CrossRef]
  65. Vangala, A.; Das, A.K.; Kumar, N.; Alazab, M. Smart Secure Sensing for IoT-Based Agriculture: Blockchain Perspective. IEEE Sens. J. 2021, 21, 17591–17607. [Google Scholar] [CrossRef]
  66. Vadgama, N.; Tasca, P. An Analysis of Blockchain Adoption in Supply Chains Between 2010 and 2020. Front. Blockchain 2021, 4, 14. [Google Scholar] [CrossRef]
  67. Awan, S.H.; Ahmad, S.; Khan, Y.; Safwan, N.; Qurashi, S.S.; Hashim, M.Z. A Combo Smart Model of Blockchain with the Internet of Things (IoT) for the Transformation of Agriculture Sector. Wirel. Pers. Commun. 2021, 121, 2233–2249. [Google Scholar] [CrossRef]
  68. Orjuela, K.G.; Gaona-Garcia, P.A.; Marin, C.E.M. Towards an agriculture solution for product supply chain using blockchain: Case study Agro-chain with BigchainDB. Acta Agric. Scand. Sect. B Soil Plant Sci. 2021, 71, 1–16. [Google Scholar] [CrossRef]
  69. Van Wassenaer, L.; Verdouw, C.; Wolfert, S. What Blockchain Are We Talking About? An Analytical Framework for Understanding Blockchain Applications in Agriculture and Food. Front. Blockchain 2021, 4, 8. [Google Scholar] [CrossRef]
  70. Niknejad, N.; Ismail, W.; Bahari, M.; Hendradi, R.; Salleh, A.Z. Mapping the research trends on blockchain technology in food and agriculture industry: A bibliometric analysis. Environ. Technol. Innov. 2021, 21, 12. [Google Scholar] [CrossRef]
  71. Rijanto, A. Business financing and blockchain technology adoption in agroindustry. J. Sci. Technol. Policy Manag. 2021, 12, 215–235. [Google Scholar] [CrossRef]
  72. Leduc, G.; Kubler, S.; Georges, J.P. Innovative blockchain-based farming marketplace and smart contract performance evaluation. J. Clean Prod. 2021, 306, 15. [Google Scholar] [CrossRef]
  73. Neethirajan, S.; Kemp, B. Digital Livestock Farming. Sens. Bio-Sens. Res 2021, 32, 12. [Google Scholar] [CrossRef]
  74. Yang, X.; Shu, L.; Chen, J.N.; Ferrag, M.A.; Wu, J.; Nurellari, E.; Huang, K. A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges. IEEE-CAA J. Autom. Sin. 2021, 8, 273–302. [Google Scholar] [CrossRef]
  75. Saurabh, S.; Dey, K. Blockchain technology adoption, architecture, and sustainable agri-food supply chains. J. Clean Prod. 2021, 284, 13. [Google Scholar] [CrossRef]
  76. Tan, H.Y.; Zhang, Q. Application of Blockchain Hierarchical Model in the Realm of Rural Green Credit Investigation. Sustainability 2021, 13, 1324. [Google Scholar] [CrossRef]
  77. Ren, W.; Wan, X.T.; Gan, P.C. A double-blockchain solution for agricultural sampled data security in Internet of Things network. Futur. Gener. Comp. Syst. 2021, 117, 453–461. [Google Scholar] [CrossRef]
  78. Liu, W.; Shao, X.F.; Wu, C.H.; Qiao, P. A systematic literature review on applications of information and communication technologies and blockchain technologies for precision agriculture development. J. Clean Prod. 2021, 298, 22. [Google Scholar] [CrossRef]
  79. Liu, Y.; Ma, X.Y.; Shu, L.; Hancke, G.P.; Abu-Mahfouz, A.M. From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges. IEEE Trans. Ind. Inform. 2021, 17, 4322–4334. [Google Scholar] [CrossRef]
  80. Kumar, R.; Kumar, P.; Tripathi, R.; Gupta, G.P.; Gadekallu, T.R.; Srivastava, G. SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles. Comput. Netw. 2021, 187, 17. [Google Scholar] [CrossRef]
  81. Friha, O.; Ferrag, M.A.; Shu, L.; Maglaras, L.; Wang, X.C. Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies. IEEE-CAA J. Autom. Sin. 2021, 8, 718–752. [Google Scholar] [CrossRef]
  82. Cao, S.F.; Powell, W.; Foth, M.; Natanelov, V.; Miller, T.; Dulleck, U. Strengthening consumer trust in beef supply chain traceability with a blockchain-based human-machine reconcile mechanism. Comput. Electron. Agric. 2021, 180, 10. [Google Scholar] [CrossRef]
  83. Bai, Y.H.; Fan, K.; Zhang, K.; Cheng, X.C.; Li, H.; Yang, Y.T. Blockchain-based trust management for agricultural green supply: A game theoretic approach. J. Clean Prod. 2021, 310, 10. [Google Scholar] [CrossRef]
  84. Alkahtani, M.; Khalid, Q.S.; Jalees, M.; Omair, M.; Hussain, G.; Pruncu, C.I. E-Agricultural Supply Chain Management Coupled with Blockchain Effect and Cooperative Strategies. Sustainability 2021, 13, 816. [Google Scholar] [CrossRef]
  85. Hu, S.S.; Huang, S.; Huang, J.; Su, J.F. Blockchain and edge computing technology enabling organic agricultural supply chain: A framework solution to trust crisis. Comput. Ind. Eng. 2021, 153, 12. [Google Scholar] [CrossRef]
  86. Liu, Z.L.; Wei, H.; Wang, D.B. Functional agricultural monitoring data storage based on sustainable block chain technology. J. Clean Prod. 2021, 281, 9. [Google Scholar] [CrossRef]
  87. Dong, S.Z.; Yang, L.; Shao, X.F.; Zhong, Y.F.; Li, Y.; Qiao, P. How can channel information strategy promote sales by combining ICT and blockchain? Evidence from the agricultural sector. J. Clean Prod. 2021, 299, 12. [Google Scholar] [CrossRef]
  88. Zhu, L.; Li, F. Agricultural data sharing and sustainable development of ecosystem based on block chain. J. Clean Prod. 2021, 315, 9. [Google Scholar] [CrossRef]
  89. Hossain, M.S.; Rahman, M.H.; Rahman, M.S.; Hosen, A.; Seo, C.; Cho, G.H. Intellectual Property Theft Protection in IoT Based Precision Agriculture Using SDN. Electronics 2021, 10, 1987. [Google Scholar] [CrossRef]
  90. Valoppi, F.; Agustin, M.; Abik, F.; de Carvalho, D.M.; Sithole, J.; Bhattarai, M.; Varis, J.J.; Arzami, A.; Pulkkinen, E.; Mikkonen, K.S. Insight on Current Advances in Food Science and Technology for Feeding the World Population. Front. Sustain. Food Syst. 2021, 5, 17. [Google Scholar] [CrossRef]
  91. Zeng, H.; Dhiman, G.; Sharma, A.; Sharma, A.; Tselykh, A. An IoT and Blockchain-based approach for the smart water management system in agriculture. Expert Syst. 2021, 22, 13. [Google Scholar] [CrossRef]
  92. Mavilia, R.; Pisani, R. Blockchain for agricultural sector: The case of South Africa. Afr. J. Sci. Technol. Innov. Dev. 2021, 7, 13. [Google Scholar] [CrossRef]
  93. Yadav, V.S.; Singh, A.R.; Raut, R.D.; Cheikhrouhou, N. Blockchain drivers to achieve sustainable food security in the Indian context. Ann. Oper. Res. 2021, 107, 39. [Google Scholar] [CrossRef]
  94. Srivastava, R.; Zhang, J.Z.; Eachempati, P. Blockchain technology and its applications in agriculture and supply chain management: A retrospective overview and analysis. Enterp. Inf. Syst. 2021, 107, 24. [Google Scholar] [CrossRef]
  95. Mendes, D.; Denny, T. Technology to Sustainable Development: Challenges and Risks Arising from the Internet of Value—Governance and Privacy Issues through Distributed Ledger Technology; Zenodo: Geneve, Switzerland, 2021. [Google Scholar]
Sustainability 14 04313 g001 550
Figure 1. Primary screened publications country-related trend; source: own construction.
Figure 1. Primary screened publications country-related trend; source: own construction.
Sustainability 14 04313 g001
Sustainability 14 04313 g002 550
Figure 2. PRISMA 2020 flow diagram of search results; (source: own illustration based on [45]).
Figure 2. PRISMA 2020 flow diagram of search results; (source: own illustration based on [45]).
Sustainability 14 04313 g002
Table
Table 1. The characteristics of the selected documents in terms of their publishers.
Table 1. The characteristics of the selected documents in terms of their publishers.
PublishersRecord Count% of 79
Elsevier3037.975
Mdpi1518.987
IEEE1215.19
Frontiers Media Sa67.595
Springer Nature67.595
Wiley45.063
Emerald Group Publishing33.797
Taylor & Francis33.797
Table
Table 2. Summary of review result.
Table 2. Summary of review result.
NoYearAuthorKeywordsMain Contraption
12017[46]Blockchain, IoT, precision agriculture, agricultural data, distributed ledgerProposed an integrated model of an ICT e agriculture with blockchain technology and suggested evaluation tools of technical and social suitability of ICT agriculture blockchain based system.
22019[13]Blockchain, digital agriculture, food supply chainBlockchain impacts in agriculture and food supply chain by reviewing a present and ongoing initiatives and project, as well as, discussing the challenges barriers and benefits of blockchain technology application.
32019[47]Supply chain, IoT, distributed database, artificial intelligence, ICT, traceabilityPresented a panorama map of the scientific studies of the blockchain application in the agri-food sector, using terms mapping analysis via a Visualization of Similarities analysis.
42019[48]Blockchain, Ethereum, smart contracts, traceability, Soybean, agricultural supply chain, food safety.Proposed a generic solution to improve traceability of soybean agriculture supply chain by utilizing the Ethereum blockchain and smart contract at among to enhance food safety and quality.
52019[49]Organic vegetables, blockchain, TAP (Traceability Agricultural Product); EthereumBy using Ethereum the study suggested a model to solve the authenticity of the production and marketing process of an organic vegetable market.
62020[50]Precision agriculture, blockchain technology, IoT, challenges and solutionsThe application of blockchain and IoT technology in enhancing the efficiency of precision agriculture, mainly by examining the benefits and solutions that can be gained by applying blockchain in developing new applications in precision agriculture.
72020[51]Electronic services, sustainable development, rural economy, online salesEvaluated how convenience is the application of blockchain technology in e-agriculture compared to traditional agriculture, in terms of the usefulness of its application and products’ online sales, as well as examining the impact of farmer age on that convenience level.
82020[8]Food supply chain, agricultural insurance, smart agriculture. smart contractReviewed the application of block chain in food supply chains, agricultural insurance, smart farming, and transactions of agricultural products, discussing the challenges of smallholder farmers data security
92020[52]Precision agriculture, safe farming, Blockchain, IoTDiscussed the precision agriculture efficiency by applying the IoT system and blockchain technology in safe farming applications, such as animal attack tracking, mainly via a Repelling and Notifying System.
102020[53]Agriculture data, integrity, permissioned network. SecurityThe study focused on the quality of agriculture data and how it is possible by applying blockchain technology the agriculture data integrity can be ensured.
112020[54]Security, privacy authentication, smart agriculture, greenhouseExamined the challenges on privacy and security issues related to green IoT-based agriculture and presented several threats effected green IoT based agriculture such as attacks against privacy, authentication, confidentiality, availability, and integrity properties.
122020[55]Energy management, blockchain technologyInvestigated farm energy management strategy and how blockchain can improve the energy utilization of the produced energy from the photovoltaic cell.
132020[56]Agriculture supply chain, blockchain barriersDetermined the adaptation barriers of the blockchain in the Indian agricultural supply chain and introduced an integrated model of the adaptation barriers and the interrelation and intensity of the relationship among them.
142020[57]Artificial intelligence, blockchain, edge computing, smart agricultureDiscussed the huge agriculture input data processing difficulties, in terms of speed and accuracy, due to the large area coverage of agriculture and the variety of production objects, and evaluated the opportunity and challenge of using Edge computing along with other blockchain-based technology to ensure agriculture data quality.
152020[58]Accountability, blockchain, supply chain, credibility, reputation, trust, traceabilitySuggested a blockchain model that solved the issue of agri-food supply chain traceability credibility and auditability.
162020[59]Blockchain, yield estimation, production, smart contractsThe study suggested a blockchain-based solution to improve yield estimation of agricultural products.
172020[50]Precision agriculture, blockchain technology, Internet of things, challenges and solutionsThe study looked at the advantages and solutions that may be acquired by using blockchain to construct new precision agriculture applications.
182020[60]Agricultural supply chain, machine learning, sustainability, smart farmingThe study emphasized how techniques might help agricultural supply chains ASCs and lead to ASC sustainability.
192020[61]Digital agricultural, democratization, electronic agriculture, ICT technology, BlockchainThe research studied the implications and logical links between institutional and technological notions such agricultural democratization, agricultural autocratization, centralization, and decentralization.
202020[62]Agriculture supply chain, blockchain, distributed ledger, traceabilityThe research gave an overview of how blockchain technology can be used to improve traceability in the agri-food industry.
212020[63]Blockchain technology, sustainability, agriculture supply chain, traceability, transparencyThe study determined the enablers of blockchain technology adoption in agriculture supply networks and their relationships.
222021[64]Food supply chains, blockchain, traceabilityOutlined the use of blockchain technology in the Canadian food and agriculture industry.
232021[65]Agriculture sensors monitoring, smart agricultureA generalized blockchain-based security architecture has been suggested after defining the main requirements in smart agriculture.
242021[66]Blockchain, agriculture supply chainsIn the agriculture project, analyzed blockchain projects based on factors such as their inception dates, types of blockchain, status, sectors applied to, and type of organization that was created.
252021[67]Food tracking, blockchain technique, IoT, smart modelProposed a hybrid smart model with an innovative method for converting traditional agricultural to smart agriculture, taking into account both blockchain and Internet of Things (IoT) properties.
262021[68]Blockchain agriculture, supply chain, blockchain modelProvided an internet-based solution for agriculture supply chain management and control.
272021[69]Blockchain governance, blockchain framework, blockchain ecosystemEmployed a reference framework to better understand different blockchain applications and select essential criteria for new agri-food use cases.
282021[70]Food and agriculture, blockchain, R package bibliometrix, VOSviewerBy using the R package bibliometrix and the Visualization of Similarities (VOS) viewer application, expand a graphical mapping of the bibliographic information of food and agriculture research.
292021[71]Technology adoption, blockchain, agroindustry innovationsInvestigated corporate financing patterns and blockchain usage in the agricultural industry.
302021[72]Smart agriculture, network performance, quality of serviceFarMarketplace is a new blockchain-based farming marketplace platform that has been proposed.
312021[73]Precision livestock farming, blockchain, big data analytics, livestock agricultureExamined the current state of Precision Livestock Farming (PLF) technologies, particularly biometric sensors, big data, and blockchain technology, in terms of digitalizing animal agriculture.
322021[74]Agricultural artificial intelligence, agricultural automation, smart agricultureThree common smart agricultural development modes (precision agriculture, facility agriculture, and order agriculture) have been discussed.
332021[75]Grape wine supply chain, technology adoption, traceability, blockchainThe study considered the grape wine supply chain and used a rating-based conjoint analysis to identify a few potential drivers of blockchain technology adoption.
342021[76]Blockchain, hierarchical model, rural green credit investigationInvestigated rural green credit using a blockchain hierarchical paradigm.
352021[77]Agricultural, blockchain, cross-chain, data securityPresented a double blockchain solution based on the Inter Planetary File System (IPFS) for agricultural sampled data protection on an IoT network.
362021[78]Blockchain, 4th industrial-revolution, farmers, innovation supportThe study looks at the literature on information and communication technologies (ICTs) and blockchain technology (BTs) in agriculture from 2011 to 2020.
372021[79]Agriculture supply chains, agriculture 4.0, productivity, industrial agricultureExamined the current state of industrial agriculture, as well as the lessons learnt from industrialized agricultural production patterns, procedures, and the industrialized agri-food supply chain.
382021[80]Blockchain technology, artificial intelligence, deep learning, smart agriculture.Proposed a Secured Privacy-Preserving Framework (SP2F) for smart agriculture in UAVs (Unmanned Aerial Vehicles).
392021[81]Agricultural internet of things (IoT), smart agriculture, smart farming, sustainable agricultureOutlined emerging technologies for the agricultural IoT, such as unmanned aerial vehicles, wireless technologies, open-source IoT platforms, and software-defined networking, as well as summarized existing surveys.
402021[82]Trust, cross-border trade, food, agricultureInvestigated new features for a human–machine reconciliation mechanism that allows agriculture and supply chain operators to share responsibility in supplying accredited traceability data to customers.
412021[83]Blockchain, trust management, supply chain, non-cooperative gameProvided a non-cooperative game-based green supply chain framework, by developing a more scientific game theory model based on the Bayesian formula, which blends past experience with current conditions.
422021[84]Sustainable agricultural, supply chain management, blockchain, environmentWeb design features were used to incorporate the blockchain effect into agricultural supply chain management.
432021[85]Blockchain, edge computing, organic agricultural supply chain, traceabilityDiscussed the organic agricultural supply chain, by using blockchain’s immutability and the Edge computing concept to build a substantial trust framework.
442021[86]Functional agriculture, privacy protection, monitoring data, blockchainPresented a storage technique for agricultural monitoring data based on sustainable blockchain technology, by focusing on the storage and privacy protection scheme for monitoring data.
452021[87]Information and communication technology, digital agriculture, blockchainExamined the influence of an agricultural cross-channel information strategy based on information and communications technology as well as blockchain technology on retailer pricing strategy and customer behavior.
462021[88]Block chain technology, agricultural data sharing, cloud computing platformConducted a thorough examination of the benefits of blockchain-based large data sharing and developed a blockchain-based big data sharing model.
472021[89]Intellectual property, precision agriculture, IoTExamined the privacy and security concerns of precision agriculture based on the IoT.
482021[90]Food loss and food waste, food production, food security, circular economyPresented an outline of the circular economy and alternative food production technologies such as cellular agriculture.
492021[91]Blockchain, data analytics, Internet of Things, smart agricultureFor managing and coordinating the use of excellent quality seeds and water resources among communities, an effective seed quality monitoring and smart water management system was built using IoT and blockchain technology.
502021[92]Blockchain, innovation management, digital transformation, agricultural sectorThrough a survey review of the literature, this paper examines the effects of blockchain applications in agriculture and the food supply chain.
512021[93]Blockchain, agriculture supply chain, sustainable, food securityTo ensure long-term food security in India, the study identified blockchain drivers and modeled them using an integrated MCDM (Multiple Criteria Decision Making) approach.
522021[94]Blockchain, agriculture supply chain, sustainableIdentified emergent issues for future blockchain study, with an emphasis on agricultural and supply chain management.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Alobid, M.; Abujudeh, S.; Szűcs, I. The Role of Blockchain in Revolutionizing the Agricultural Sector. Sustainability 2022, 14, 4313. https://doi.org/10.3390/su14074313

AMA Style

Alobid M, Abujudeh S, Szűcs I. The Role of Blockchain in Revolutionizing the Agricultural Sector. Sustainability. 2022; 14(7):4313. https://doi.org/10.3390/su14074313

Chicago/Turabian Style

Alobid, Mohannad, Said Abujudeh, and István Szűcs. 2022. "The Role of Blockchain in Revolutionizing the Agricultural Sector" Sustainability 14, no. 7: 4313. https://doi.org/10.3390/su14074313

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop