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Plant Science Today (PST)

Review Articles

Vol. 12 No. sp1 (2025): Recent Advances in Agriculture by Young Minds - II

Blockchain technology in agriculture: Ensuring transparency and traceability in the food supply chain

DOI
https://doi.org/10.14719/pst.5970
Submitted
19 October 2024
Published
25-01-2025

Abstract

The study explores the transformative role of blockchain technology in enhancing transparency and traceability within the agricultural food supply chain. By leveraging blockchain's inherent characteristics of decentralization, immutability, and security, stakeholders can significantly improve information sharing and visibility from farm to consumer. The study delves into how blockchain addresses longstanding transparency and traceability issues that have plagued the agricultural sector. Real-world examples illustrate blockchain's successful application in agriculture, showcasing its capacity to boost transparency, operational efficiency, and trust among supply chain participants. These case studies demonstrate how blockchain creates tamper-proof records, enhances end-to-end visibility, and provides reliable, real time data. The technology's potential to combat fraud, promote sustainability, and ensure product authenticity is also explored. Furthermore, the research investigates blockchain's impact on food safety, particularly when integrated with Internet of Things (IoT) devices and smart contracts. These synergies enable automated, secure data collection and the execution of predefined agreements, further streamlining supply chain processes. Successful implementations across various areas of supply chain management, including logistics, inventory tracking, and quality control, are highlighted to demonstrate the practical benefits of blockchain adoption. By providing an in-depth analysis of blockchain's potential, this study underscores its pivotal role in building consumer trust regarding food safety, quality, and origin. The research concludes by discussing the challenges and opportunities for widespread blockchain adoption in agriculture, offering insights into its future trajectory and potential to revolutionize the global food supply chain.

References

  1. Demestichas K, Peppes N, Alexakis T, Adamopoulou E. Blockchain in agriculture traceability systems: A review. Appl Sci. 2020;10(12):4113. https://doi.org/10.3390/app10124113
  2. Apruzzese M, Bruni ME, Musso S, Perboli G. 5G and companion technologies as a boost in new business models for logistics and supply chain. Sustainability. 2023;15(15):11846. https://doi.org/10.3390/su151511846
  3. Talwar S, Talwar M, Kaur P, Dhir A. Consumers’ resistance to digital innovations: A systematic review and framework development. Australas Mark J. 2020;28(4):286-99. https://doi.org/10.1016/j.ausmj.2020.06.014
  4. Nanda AP, Banerjee R. Consumer’s subjective financial well-being: A systematic review and research agenda. Int J Consum Stud. 2021;45(4):750-76. https://doi.org/10.1111/ijcs.12668
  5. Goyal K, Kumar S. Financial literacy: A systematic review and bibliometric analysis. Int J Consum Stud. 2021;45(1):80-105. https://doi.org/10.1111/ijcs.12605
  6. García-Alcaraz JL, Realyvásquez Vargas A, Satapathy S. Innovation, safe and smart sustainable manufacturing—A bibliometric review. In: Realyvásquez Vargas A, Satapathy S, García-Alcaraz JL, editors. Automation and innovation with computational techniques for futuristic smart, safe and sustainable manufacturing processes. Cham: Springer; 2024. p. 3-36. https://doi.org/10.1007/978-3-031-46708-0_1
  7. Zhao G, Liu S, Lopez C, Lu H, Elgueta S, Chen H, et al. Blockchain technology in agri-food value chain management: A synthesis of applications, challenges and future research directions. Comput Ind. 2019;109:83-99. https://doi.org/10.1016/j.compind.2019.04.002
  8. Feng H, Wang X, Duan Y, Zhang J, Zhang X. Applying blockchain technology to improve agri-food traceability: A review of development methods, benefits and challenges. J Clean Prod. 2020; 260:121031. https://doi.org/10.1016/j.jclepro.2020.121031
  9. Demestichas K, Daskalakis E. Information and communication technology solutions for the circular economy. Sustainability. 2020;12(18):7272. https://doi.org/10.3390/su12187272
  10. Treiblmaier H, Rejeb A, Strebinger A. Blockchain as a driver for smart city development: Application fields and a comprehensive research agenda. Smart Cities. 2020;3(3):853-72. https://doi.org/10.3390/smartcities3030044
  11. Kawaguchi N. Application of blockchain to supply chain: Flexible blockchain technology. Procedia Comput Sci. 2019;164:143-48. https://doi.org/10.1016/j.procs.2019.12.166
  12. Zhao Y, Zhao J, Jiang L, Tan R, Niyato D, Li Z, et al. Privacy-preserving blockchain-based federated learning for IoT devices. IEEE Internet Things J. 2020;8(3):1817-29. https://doi.org/10.1109/jiot.2021.3098910
  13. Salah K, Nizamuddin N, Jayaraman R, Omar M. Blockchain-based soybean traceability in agricultural supply chain. IEEE Access. 2019;7:73295-305. https://doi.org/10.1109/access.2019.2918000
  14. Mirabelli G, Solina V. Blockchain and agricultural supply chains traceability: Research trends and future challenges. Procedia Manuf. 2020;42:414-21. https://doi.org/10.1016/j.promfg.2020.02.054
  15. Guido R, Mirabelli G, Palermo E, Solina V. A framework for food traceability: Case study--Italian extra-virgin olive oil supply chain. Int J Ind Eng Manag. 2020;11(1):50-60. https://doi.org/10.24867/ijiem-2020-1-252
  16. Kouhizadeh M, Sarkis J. Blockchain practices, potentials and perspectives in greening supply chains. Sustainability. 2018;10(10):3652. https://doi.org/10.3390/su10103652
  17. Wang R, Lin Z, Luo H. Blockchain, bank credit and SME financing. Qual Quant. 2019;53:1127-40 https://doi.org/10.1007/s11135-018-0806-6
  18. Liu CH, Lin Q, Wen S. Blockchain-enabled data collection and sharing for industrial IoT with deep reinforcement learning. IEEE Trans Ind Inform. 2018;15(6):3516-26. https://doi.org/10.1109/tii.2018.2890203
  19. Li C, Yang T, Shi Y. Blockchain adoption and organic subsidy in an agricultural supply chain considering market segmentation. Mathematics. 2024;12(1):106. https://doi.org/10.3390/math12010106
  20. Rejeb A, Keogh JG, Zailani S, Treiblmaier H, Rejeb K. Blockchain technology in the food industry: A review of potentials, challenges and future research directions. Logistics. 2020;4(4):27. https://doi.org/10.3390/logistics4040027
  21. Chandan A, John M, Potdar V. Achieving UN SDGs in food supply chain using blockchain technology. Sustainability. 2023;15(3):2109. https://doi.org/10.3390/su15032109
  22. Khan HH, Malik MN, Konecná Z, Chofreh AG, Goni FA, Klemeš JJ. Blockchain technology for agricultural supply chains during the COVID-19 pandemic: Benefits and cleaner solutions. J Clean Prod. 2022;347:131268. https://doi.org/10.1016/j.jclepro.2022.131268
  23. Tanwar S, Parmar A, Kumari A, Jadav NK, Hong W-C, Sharma R. Blockchain adoption to secure the food industry: Opportunities and challenges. Sustainability. 2022;14(12):7036. https://doi.org/10.3390/su14127036
  24. Chang SE, Chen Y-C, Lu M-F. Supply chain re-engineering using blockchain technology: A case of smart contract based tracking process. Technol Forecast Soc Change. 2019;144:1-11. https://doi.org/10.1016/j.techfore.2019.03.015
  25. Makhdoom I, Abolhasan M, Abbas H, Ni W. Blockchain's adoption in IoT: The challenges, and a way forward. J Netw Comput Appl. 2019;125:251-79. https://doi.org/10.1016/j.jnca.2018.10.019
  26. Lin S-Y, Zhang L, Li J, Ji L-l, Sun Y. A survey of application research based on blockchain smart contract. Wireless Network. 2022;28:635-90. https://doi.org/10.1007/s11276-021-02874-x
  27. Sharma P, Jindal R, Borah MD. A review of smart contract-based platforms, applications and challenges. Cluster Comput. 2023;26:395-421. https://doi.org/10.1007/s10586-021-03491-1
  28. Srivastava A, Jawaid S, Singh R, Gehlot A, Akram SV, Priyadarshi N, et al. Imperative role of technology intervention and implementation for automation in the construction industry. Advances in Civil Engineering. 2022;2022:716987. https://doi.org/10.1155/2022/6716987
  29. Rejeb A, Keogh JG, Treiblmaier H. Leveraging the internet of things and blockchain technology in supply chain management. Future Internet. 2019;11(7):161. https://doi.org/10.3390/fi11070161
  30. 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(5):1784. https://doi.org/10.3390/ijerph17051784
  31. Mohsin AH, Zaidan AA, Zaidan BB, Albahri OS, Albahri AS, Alsalem M, et al. Blockchain authentication of network applications: Taxonomy, classification, capabilities, open challenges, motivations, recommendations and future directions. Comput Stand Interfaces. 2019;64:41-60. https://doi.org/10.1016/j.csi.2018.12.002
  32. Ellahi RM, Wood LC, Bekhit AE-DA. Blockchain-based frameworks for food traceability: A systematic review. Foods. 2023;12(16):3026. https://doi.org/10.3390/foods12163026
  33. Tsoukas V, Gkogkidis A, Kampa A, Spathoulas G, Kakarountas A. Enhancing food supply chain security through the use of blockchain and TinyML. Information. 2022;13(5):213. https://doi.org/10.3390/info13050213
  34. Sugandh U, Nigam S, Khari M, Misra S. An approach for risk traceability using blockchain technology for tracking, tracing and authenticating food products. Information. 2023;14(11):613. https://doi.org/10.3390/info14110613
  35. Choi T-M, Feng L, Li R. Information disclosure structure in supply chains with rental service platforms in the blockchain technology era. Int J Prod Econ. 2020;221:107473. https://doi.org/10.1016/j.ijpe.2019.08.008
  36. Feng J, Yu FR, Pei Q, Chu X, Du J, Zhu L. Cooperative computation offloading and resource allocation for blockchain-enabled mobile-edge computing: A deep reinforcement learning approach. IEEE Internet Things J. 2019;7(7):6214-28. https://doi.org/10.1109/jiot.2019.2961707
  37. Ding H, Sun Y, Huang N, Shen Z, Wang Z, Iftekhar A, et al. RVGAN-TL: A generative adversarial networks and transfer learning-based hybrid approach for imbalanced data classification. Inf Sci. 2023;629:184-203. https://doi.org/10.1016/j.ins.2023.01.147
  38. Cao S, 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;180:105886. https://doi.org/10.1016/j.compag.2020.105886
  39. Bermeo-Almeida O, Cardenas-Rodriguez M, Samaniego-Cobo T, Ferruzola-Gómez E, Cabezas-Cabezas R, Bazán-Vera W. Blockchain in agriculture: A systematic literature review. In: Proceedings 4 on Technologies and Innovation: 4th International Conference, CITI 2018, Guayaquil, Ecuador. Springer International Publishing; November 6-9, 2018. p. 44-56. https://doi.org/10.1007/978-3-030-00940-3_4
  40. Xu X, Weber I, Staples M. Case study: AgriDigital. In: Architecture for blockchain applications. Cham: Springer; 2019. p. 239-55. https://doi.org/10.1007/978-3-030-03035-3_12
  41. Probst WN. How emerging data technologies can increase trust and transparency in fisheries. ICES J Mar Sci. 2020;77(4):1286-94. https://doi.org/10.1093/icesjms/fsz036
  42. Sharma B, Koundal D. Cattle health monitoring system using wireless sensor network: A survey from innovation perspective. IET Wirel Sens Syst. 2018;8(4):143-51. https://doi.org/10.1049/iet-wss.2017.0060
  43. Koundal D, Sharma B. Advanced neutrosophic set-based ultrasound image analysis. In: Guo Y, Ashour AS, editors. Neutrosophic set in medical image analysis. Academic Press; 2019. p. 51-73. https://doi.org/10.1016/B978-0-12-818148-5.00003-5
  44. Collart AJ, Canales E. How might broad adoption of blockchain-based traceability impact the US fresh produce supply chain? Appl Econ Perspect Policy. 2022;44(1):219-36. https://doi.org/10.1002/aepp.13134
  45. Vu TT, Trinh HHH. Blockchain technology for sustainable supply chains of agri-food in Vietnam: A SWOT analysis. Sci Tech Dev J Econ Law Manag. 2021;5(1):1278-89. https://doi.org/10.32508/stdjelm.v5i1.675
  46. Datta S, Sinha D. BESDDFFS: Blockchain and EdgeDrone based secured data delivery for forest fire surveillance. Peer-to-Peer Netw Appl. 2021;14:3688-717. https://doi.org/10.1007/s12083-021-01187-2
  47. Francisco K, Swanson D. The supply chain has no clothes: Technology adoption of blockchain for supply chain transparency. Logistics. 2018;2(1):2. https://doi.org/10.3390/logistics2010002
  48. Hasanova H, Baek U-j, Shin M-g, Cho K, Kim M-S. A survey on blockchain cybersecurity vulnerabilities and possible countermeasures. Int J Netw Manag. 2019;29(2):e2060. https://doi.org/10.1002/nem.2060
  49. Omar IA, Jayaraman R, Debe MS, Salah K, Yaqoob I, Omar M. Automating procurement contracts in the healthcare supply chain using blockchain smart contracts. IEEE Access. 2021;9:37397-409. https://doi.org/10.1109/access.2021.3062471

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