Adaptation of IoT with Blockchain in Food Supply Chain Management: An Analysis-Based Review in Development, Benefits and Potential Applications
Abstract
:1. Introduction
1.1. Blockchain-Related Components
- User or node—end user or node within the blockchain.
- Transactions (deals)—smallest chunks or building blocks for the blockchain transaction system.
- Blocks or chunks—a data structure used for preserving a set of transactions, which is distributed to all nodes in the present network.
- Purchase Chain—a sequence of blocks related to a purchase order.
- Miners—a specific type of user who performs the block verification and validation processes.
- Consensus—blockchain operations carried out after verification according to the set of rules and arrangements.
1.2. Features of Blockchain
- Immutability: Blockchain technology provides the essential benefit that once a user enters information or data into the blockchain, it cannot be updated or modified during the entire transaction process. This characteristic is called immutability, and it has made blockchain technology very popular. Consequently, blockchain is being used in all sectors where data integrity, data security, and data protection are of utmost importance.
- Autonomy: Blockchain provides the ability to take decisions individually without intervention by others. It allows the manufacturing and delivery of devices smartly, with IoT-based devices for quick and autonomous decisions in transactions.
- Decentralization: All transactions of authorized users can be completed over the internet and accessed without any previous intervention. Every registered user has the same ability to monitor and observe the transaction and prepare copies of all transactions [11]. This information will never be changed without other users being intimated [12]. In contemporary internet-based systems, the entire information of a transaction is not saved only on one single server; copies of the transaction data are saved in distributed computers that are considered “nodes” in the blockchain without any supervisory central authority. Then, all the computers are connected to the blockchain network, which is called a distributed ledger because of the distributed data.
- Smart Contracts: A smart contract works as a digitalized contract, and after certain agreements, it operates automatically [13]. In actual fact, a smart contract is a computerized transaction protocol that enhances trust and speeds up transactions [14,15]. For example, once a product is developed and received at the warehouse, payment is made automatically. Using smart contracts, developers can reduce processing time, manpower, paperwork, and other resources. In a new observation, Maersk observed that more than 30 people and organizations were involved in the shipping of containers containing roses, avocados, and other perishable goods from Kenya to the Netherlands in the year 2014 [16]. The entire task was managed using smart contracts only; no human intervention was required, and the entire process took ten days. Smart contracts cannot be changed by humans; they are based on the agreements between partners. Blockchain reduces the risk of transactions at all levels and increases the supply chain visibility, reliability, and transparency while protecting stakeholders’ benefits.
- Transparency: Blockchain technology provides a clear and transparent environment. No third party is required as a mediator to provide trust between different parties related to data transactions. Furthermore, even the identities of those involved are hidden with the help of a complex cryptography technique.
- Question 1:
- What studies have been conducted on the blockchain with IoT adoption in food supply chain management (FSCM)?
- Question 2:
- What are the benefits of using blockchain in the food supply chain?
- Question 3:
- What are the various challenges of blockchain adoption in FSCM?
- Question 4:
- How does blockchain provide control over FSCM?
2. Literature Review
3. Traditional Supply Chain Management
- Traditional supply chains have a limited view of work.
- Delays and unsynchronized responses because of variations in planning.
- Delayed information while passing through each organization.
- The entire chain has limited visibility.
- As information flows, the end customer demands distortion.
- Seed purchasing: Various food seeds are purchased from seed companies for sale to farmers.
- Farming: Ingredients, fruits, meat, vegetables, and beverages originate and are purchased.
- Processing: Plants and animals are converted into edible forms.
- Distributing: Retailers and suppliers purchase the food in its final form and further transport it. Distributors sell items, manage inventories, reduce costs, and maintain ledgers to give value to food products.
- Retailing: The food product is delivered to the final consumers.
- Food product purchasing: The final stage of FSC where the consumer purchases the finished product from the retailer.
4. Blockchain with IoT Devices
4.1. IoT for Healthcare
- Stationary medical devices;
- Medical embedded devices;
- Medical wearable devices;
- Wearable health monitoring devices;
- Glucose monitoring devices;
- Hand hygiene monitoring devices;
- Depression and mood monitoring.
4.2. IoT for Smart Homes
4.3. IoT for Supply Chain Management
- Customer satisfaction as per requirements: At the time of manufacturing, companies identify food that requires special arrangements for shipping and transport. Smart SCM maintains regulatory compliance and high quality throughout the shipment transport.
- Safeguarding: Smart IoT food supply chain monitoring systems offer quality identification, consumer assurance, and food validation after meeting customer expectations.
- Cost-effectiveness: Smart SCM provides a cost-effective IoT-based system to identify the food quality and shipment from manufacturing to delivery.
- Maintaining Integrity: While manufacturing and distributing, certain foods, products, and pharmaceuticals require special preservation to prevent harm. An IoT-based SCM works to maintain the integrity of perishable food. Smart supply chains preserve human health and eliminate waste through stringent monitoring and alerts.
- Trackability: IoT devices trace the food freshness level at every transaction point. These collect the food condition information and transmit it to the cloud for further storage. The blockchain collects this information and maintains a ledger for the particular food. Consequently, the transporter and seller can check the condition of the food at every stage.
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Queiroz, M.M.; Telles, R.; Bonilla, S.H. Blockchain and supply chain management integration a systematic review of the literature. Supply Chain Manag. Int. J. 2019, 25, 241–254. [Google Scholar] [CrossRef]
- Dabbene, F.; Gay, P. Food traceability systems: Performance evaluation and optimization. Comput. Electron. Agric. 2011, 75, 139–146. [Google Scholar] [CrossRef]
- Bazarsukh, R. Global Risks 2018: Fractures, Fears and Failures. Available online: https://reports.weforum.org/global-risks-2018/global-risks-2018-fractures-fears-and-failures (accessed on 10 May 2022).
- Marsden, T.; Murdoch, J.; Morgan, K. Sustainable agriculture, food supply chains and regional development: Editorial introduction. Int. Plan. Stud. 1999, 4, 295–301. [Google Scholar] [CrossRef]
- Nychas, G.-J.E.; Panagou, E.Z.; Mohareb, F. Novel approaches for food safety management and communication. Curr. Opin. Food Sci. 2016, 12, 13–20. [Google Scholar] [CrossRef] [Green Version]
- Srivastava, H.S.; Wood, L.C. Cloud Computing to Improve Agri-Supply Chains in Developing Countries. In Encyclopedia of Information Science and Technology, 3rd ed.; IGI Global: Hershey, PA, USA, 2015; pp. 1059–1069. ISBN 978-1-4666-5888-2. [Google Scholar]
- Verhoeven, P.; Sinn, F.; Herden, T.T. Examples from Blockchain Implementations in Logistics and supply chain management exploring the mindful use of a new technology. Logistics 2018, 2, 20. [Google Scholar] [CrossRef] [Green Version]
- Hackius, N.; Petersen, M. Blockchain in logistics and supply chain: Trick or Treat? In Digitalization in Supply Chain Management and Logistics. 2017. Available online: https://tore.tuhh.de/bitstream/11420/1447/1/petersen_hackius_blockchain_in_scm_and_logistics_hicl_2017 (accessed on 24 March 2019).
- Wang, Y.; Han, J.H.; Davies, P. Understanding blockchain technology for future supply chains: A systematic literature review and research agenda. Supply Chain Manag. Int. J. 2018, 24, 62–84. [Google Scholar] [CrossRef] [Green Version]
- Gay, P.; Piccarolo, P.; Aimonino, D.R.; Tortia, C. Livestock identification and farm management by RFID systems. In Proceedings of the International Conference on Agricultural Engineering, Hersonissos, Greece, 23–25 June 2008; p. P-025. [Google Scholar]
- Kouhizadeh, M.; Sarkis, J. Blockchain Practices, Potentials, and Perspectives in Greening supply chains. Sustainability 2018, 10, 3652. [Google Scholar] [CrossRef] [Green Version]
- Nizamuddin, N.; Hasan, H.; Salah, K. IPFS- Blockchain-based Authenticity of Online Publications. In International Conference on Blockchain (ICBC 2018); Springer LNCS: Seattle, WA, USA, 2018. [Google Scholar]
- Zhao, J.; Fan, S.; Yan, J. Overview of business innovations and research opportunities in blockchain and introduction to the special issue. Financ. Innov. 2016, 2, 28. [Google Scholar] [CrossRef] [Green Version]
- Jeppsson, A.; Olsson, O. Blockchains as a Solution for Traceability and Transparency. Master Thesis, Lund University, Lund, Sweden, 2017. [Google Scholar]
- Park, K. Cryptocurrencies, Blockchain Is about to Revolutionize the Shipping Industry, Bloomberg. 18 April 2018. Available online: https://www.bloomberg.com/news/articles/2018-04-18/drowning-in-a-sea-of-paper-world (accessed on 22 September 2022).
- Lee, Y.; Rathore, S.; Park, J.H.; Park, J.H. A blockchain-based smart home gateway architecture for preventing data forgery. Hum.-Cent. Comput. Inf. Sci. 2020, 10, 9. [Google Scholar] [CrossRef] [Green Version]
- Bosona, T.; Gebresenbet, G. Food traceability as an integral part of logistics management in food and agricultural supply chain. Food Control 2013, 33, 32–48. [Google Scholar] [CrossRef]
- 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]
- Lin, Q.; Wang, H.; Pei, X.; Wang, J. Food Safety Traceability System Based on Blockchain and EPCIS. IEEE Access 2019, 7, 20698–20707. [Google Scholar] [CrossRef]
- He, X.; Chen, X.; Li, K. A decentralized and non-reversible traceability system for storing commodity data. KSII Trans. Internet Inf. Syst. (TIIS) 2018, 13, 619–634. [Google Scholar]
- Alonso, R.S.; Sittón-Candanedo, I.; García, Ó.; Prieto, J.; Rodríguez-González, S. An intelligent Edge-IoT platform for monitoring livestock and crops in a dairy farming scenario. Ad Hoc Netw. 2020, 98, 102047. [Google Scholar] [CrossRef]
- Folkerts, H.; Koehorst, H. Challenges in international food supply chains: Vertical co-ordination in the European agribusiness and food industries. Supply Chain. Manag. Int. J. 1997, 2, 11–14. [Google Scholar] [CrossRef]
- Tian, F. An Agri-food supply chain traceability system for China based on FRID & Blockchain technology. In Proceedings of the 13th International Conference on Service Systems and Service Management (ICSSSM 2016), Kunming, China, 24–26 June 2016. [Google Scholar]
- Bazoni, C.H.; Ida, E.I.; Barbin, D.F.; Kurozawa, L.E. Near-infrared spectroscopy as a rapid method for evaluation physicochemical changes of stored soybeans. J. Stored Prod. Res. 2017, 73, 1–6. [Google Scholar] [CrossRef]
- David, A.; Kumar, C.G.; Paul, P.V. Blockchain Technology in the Food Supply Chain: Empirical Analysis. Int. J. Inf. Syst. Supply Chain. Manag. (IJISSCM) 2022, 5, 1–12. [Google Scholar] [CrossRef]
- Mastos, T.; Gotzamani, K. Sustainable Supply Chain Management in the Food Industry: A Conceptual Model from a Literature Review and a Case Study. Foods 2022, 11, 2295. [Google Scholar] [CrossRef]
- Mastos, T.D.; Nizamis, A.; Terzi, S.; Gkortzis, D.; Papadopoulos, A.; Tsagkalidis, N.; Ioannidis, D.; Votis, K.; Tzovaras, D. Introducing an application of an industry 4.0 solution for circular supply chain management. J. Clean. Prod. 2021, 300, 126886. [Google Scholar] [CrossRef]
- Ioannou, I.; Demirel, G. Blockchain and supply chain finance: A critical literature review at the intersection of operations, finance and law. J. Bank. Financ. Technol. 2022, 6, 83–107. [Google Scholar] [CrossRef]
- Chang, A.; El-Rayes, N.; Shi, J. Blockchain Technology for Supply Chain Management: A Comprehensive Review. FinTech 2022, 1, 191–205. [Google Scholar] [CrossRef]
- Awan, S.H.; Ahmed, S.; Nawaz, A.; Sulaiman, S.; Zaman, K.; Ali, M.Y.; Najam, Z.; Imran, S. Blockchain with IoT, an emergent routing scheme for smart agriculture. Int. J. Adv. Comput. Sci. Appl. 2020, 11, 420–429. [Google Scholar] [CrossRef]
- Zhao, G.; Liu, S.; Lopez, C.; Lu, H.; Elgueta, S.; Chen, H.; Boshkoska, B.M. Blockchain technology in agri-food value chain management: A synthesis of applications, challenges and future research directions. Comput. Ind. 2019, 109, 83–99. [Google Scholar] [CrossRef]
- Ronaghi, M.H. A blockchain maturity model in agricultural supply chain. Inf. Process. Agric. 2021, 8, 398–408. [Google Scholar] [CrossRef]
- Kamilaris, A.; Fonts, A.; Prenafeta-Boldv, F.X. A rise of blockchain technology in agriculture and food supply chains. Trends Food Sci. Technol. 2019, 91, 640–652. [Google Scholar] [CrossRef] [Green Version]
- Umamaheswari, S.; Sreeram, S.; Kritika, N.; Prasanth, D.R.J. BIoT: Blockchain based IoT for agriculture. In Proceedings of the 2019 11th International Conference on Advanced Computing (ICoAC), Chennai, India, 18 December 2019; pp. 324–327. [Google Scholar]
- Panarello, A.; Tapas, N.; Merlino, G.; Longo, F.; Puliafito, A. Blockchain and IoT Integration: A systematic survey. Sensors 2018, 18, 2575. [Google Scholar] [CrossRef] [Green Version]
- 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]
- 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]
- Yadav, V.S.; Singh, A.R. A systematic literature review of blockchain technology in agriculture. In Proceedings of the International Conference on Industrial Engineering and Operations Management, Pilsen, Czech Republic, 23–26 July 2019; pp. 973–981. [Google Scholar]
- Rejeb, A.; Keogh, H.G.; Treiblmaier, H. Leveraging the internet of Things and blockchain technology in supply chain management. Future Internet 2019, 11, 161. [Google Scholar] [CrossRef] [Green Version]
- Tian, F. A supply chain traceability system for food safety based on HACCP, blockchain & Internet of things. In Proceedings of the 2017 International Conference on Service Systems and Service Management, Dalian, China, 16–18 June 2017. [Google Scholar]
- Caro, M.P.; Ali, M.S.; Vecchio, M.; Giaffreda, R. Blockchain-based traceability in Agri-Food supply chain management: A practical implementation. In Proceedings of the 2018 IoT Vertical and Topical Summit on Agriculture-Tuscany (IOT Tuscany), Tuscany, Italy, 8 May 2018; pp. 1–4. [Google Scholar]
- Kim, M.; Hilton, B.; Burks, Z.; Reyes, J. Integrating blockchain, smart contract-tokens, and IoT to design a food traceability solution. In Proceedings of the 2018 IEEE 9thAnnual Information Technology, Electronics and Mobile Communication Conference (IEMCON), Vancouver, BC, Canada, 1 November 2018; Volume 1, pp. 335–340. [Google Scholar]
- Devi, M.S.; Suguna, R.; Joshi, A.S.; Bagate, R.A. Design of IoT Blockchain Based Smart Agriculture for Enlightening Safety and Security; Springer: Singapore, 2019; Volume 985. [Google Scholar]
- Kamble, S.S.; Gunasekaran, A.; Sharma, R. Modeling the blockchain enabled traceability in agriculture supply chain. Int. J. Inf. Manag. 2020, 52, 101967–102016. [Google Scholar] [CrossRef]
- Bumblauskas, D.; Mann, A.; Dugan, B.; Rittmer, J. A blockchain use case in food distribution: Do you know where your food has been? Int. J. Inf. Manag. 2020, 52, 102008–102010. [Google Scholar]
- Mao, D.; Wang, F.; Hao, Z.; Li, H. Credit evaluation system based on blockchain for multiple stakeholders in the food supply chain. Int. Environ. Res. Public Health 2018, 15, 1627. [Google Scholar] [CrossRef] [PubMed]
- Pournader, M.; Shi, Y.; Seuring, S.; Koh, S.C.L. Blockchain applications in supply chains, transport and logistics: A systematic review, of the literature. Int. J. Prod. Res. 2019, 58, 2063–2081. [Google Scholar] [CrossRef]
- Reyna, A.; Martín, C.; Chen, J.; Soler, E.; Díaz, M. On blockchain and its integration with IoT. Challenges and opportunities. Future Gen. Comput. Syst. 2018, 88, 173–190. [Google Scholar] [CrossRef]
- Available online: https://www.greyb.com/smart-home-market/1-feb-2019 (accessed on 22 September 2022).
- Lin, J.; Shen, Z.; Zhang, A.; Chai, Y. Blockchain and IoT based food traceability for smart agriculture. In Proceedings of the 3rd International Conference on Crowd Science and Engineering, Singapore, 28 July 2018. [Google Scholar]
- Folinas, D.; Manikas, I.; Manos, B. Trace- ability data management for food chains. Br. Food J. 2006, 108, 622–633. [Google Scholar] [CrossRef]
- Hasan, H.; Salah, K. Blockchain-based Proof of Delivery of Physical Assets with Single and Multiple Transporters. IEEE Access 2018, 6, 46781–46793. [Google Scholar] [CrossRef]
- Vuran, M.C.; Salam, A.; Wong, R.; Irmak, S. Internet of underground things: Sensing and communications on the field for precision agriculture. In Proceedings of the IEEE 4th World Forum on Internet of Things (WF-IoT’18), Singapore, 5–8 February 2018; pp. 586–591. [Google Scholar]
- Cambra, C.; Sendra, S.; Lloret, J.; Garcia, L. An IoT service-oriented system for agriculture monitoring. In Proceedings of the IEEE International Conference on Communications (ICC’17), Paris, France, 21–25 May 2017; pp. 1–6. [Google Scholar]
- Gu, X.; Chai, Y.; Liu, Y.; Shen, J.; Huang, Y.; Nan, Y. A MCIN-based architecture of smart agriculture. Int. J. Crowd Sci. 2017, 3, 237–248. [Google Scholar] [CrossRef] [Green Version]
- Kim, H.; Laskowski, M. Sustainable Solutions for Food, Farmers, and Financing. Blockchain Research Institute 2018, 3028164, Canada. Available online: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3028164 (accessed on 22 September 2022).
- Astill, J.; Dara, R.A.; Campbell, M.; Farber, J.M.; Fraser, E.D.G.; 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]
- Ratta, P.; Kaur, A.; Sharma, S.; Shabaz, M.; Dhiman, G. Application of Artificial Intelligence and Internet of Things (IoT) in Healthcare and Medical Sector: Applications, Challenges and Future Perspective. J. Food Qual. 2021, 2021, 7608296. [Google Scholar] [CrossRef]
Research Paper | Customer Intervention | Implementation System | Froud Detection | Traceability | Price Transparency | Original Database | Based on IoT |
---|---|---|---|---|---|---|---|
[33] | √ | √ | √ | √ | |||
[34] | √ | √ | √ | √ | √ | √ | |
[35] | √ | √ | √ | √ | |||
[36] | √ | √ | √ | ||||
[37] | √ | √ | |||||
[38] | √ | √ | √ | √ | |||
[39] | √ | √ | √ | √ | |||
[40] | √ | √ | √ | √ | √ | ||
[41] | √ | √ | √ | ||||
[42] | √ | √ | |||||
[43] | √ | √ | √ | ||||
[44] | √ | ||||||
[45] | √ | √ | √ | √ | |||
[46] | √ | √ | |||||
[47] | √ | √ | √ | ||||
[48] | √ | √ | √ | √ | |||
[49] | √ | √ | √ | ||||
[50] | √ | √ | √ | ||||
[1] | √ | √ | √ | √ | √ | ||
[51] | √ | √ | √ | ||||
[52] | √ | √ | √ | ||||
[25] | √ | √ | √ |
Years | Annual Increase | Annual Spending Per Count |
---|---|---|
2014 | 90 | $48 |
2015 | 120 | $60 |
2016 | 145 | $72 |
2017 | 164 | $80 |
2018 | 189 | $96 |
2019 | 213 | $108 |
2020 | 235 | $121 |
2021 | 255 | $132 |
2022 | 274 | $143 |
2023 | 293 | $155 |
2024 | 340 | $167 |
2025 | 525 | $201 |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Kaur, A.; Singh, G.; Kukreja, V.; Sharma, S.; Singh, S.; Yoon, B. Adaptation of IoT with Blockchain in Food Supply Chain Management: An Analysis-Based Review in Development, Benefits and Potential Applications. Sensors 2022, 22, 8174. https://doi.org/10.3390/s22218174
Kaur A, Singh G, Kukreja V, Sharma S, Singh S, Yoon B. Adaptation of IoT with Blockchain in Food Supply Chain Management: An Analysis-Based Review in Development, Benefits and Potential Applications. Sensors. 2022; 22(21):8174. https://doi.org/10.3390/s22218174
Chicago/Turabian StyleKaur, Amanpreet, Gurpreet Singh, Vinay Kukreja, Sparsh Sharma, Saurabh Singh, and Byungun Yoon. 2022. "Adaptation of IoT with Blockchain in Food Supply Chain Management: An Analysis-Based Review in Development, Benefits and Potential Applications" Sensors 22, no. 21: 8174. https://doi.org/10.3390/s22218174
APA StyleKaur, A., Singh, G., Kukreja, V., Sharma, S., Singh, S., & Yoon, B. (2022). Adaptation of IoT with Blockchain in Food Supply Chain Management: An Analysis-Based Review in Development, Benefits and Potential Applications. Sensors, 22(21), 8174. https://doi.org/10.3390/s22218174