AniraBlock: A leap towards dynamic smart contracts in agriculture using blockchain based key-value format framework

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DOI: https://doi.org/10.21924/cst.8.2.2023.1240
Keywords:
Blockchain, smart contract, fish, coffee, supply chain

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Irwansyah Saputra
Departement of Computer Science, Institut Pertanian Bogor, Bogor Regency 16680, Indonesia; Department of Information System, Nusa Mandiri University, Jakarta 13620, Indonesia
Yandra Arkeman
Departement of Agro-Industrial Technology, Institut Pertanian Bogor, Bogor Regency 16680, Indonesia
Indra Jaya
Department of Marine Science and Technology, Institut Pertanian Bogor, Bogor Regency 16680, Indonesia
Irman Hermadi
Departement of Computer Science, Institut Pertanian Bogor, Bogor Regency 16680, Indonesia
Nur Arifin Akbar
Dipartimento Matematica e Informatica, Universitá degli Studi di Palermo, Palermo 90133, Italy
Indrajani Sutedja
Information Systems Department, School of Information Systems Bina Nusantara University, Jakarta 11480, Indonesia

Abstract

Blockchain technology offers data transparency and traceability, which is particularly useful in the agricultural sector, especially within the supply chains of commodities like coffee and fish. This sector often encounters issues such as quality degradation, unclear information, and socioeconomic injustice affecting stakeholders. The implementation of Static Smart Contracts (SSCs) on blockchains provides a structured method for executing agreements. However, this approach also has limitations, including a lack of flexibility and responsiveness to dynamic changes in the supply chain. Despite these challenges, blockchain remains a valuable tool for ensuring transaction transparency, traceability, and integrity, which are vital in agriculture. These limitations involve unchangeable parameters, rigid rules, and constraints on adaptability and scalability. This study aims to tackle these issues by designing a more dynamic and responsive smart contract system. We introduce AniraBlock, a revolutionary concept for the agricultural supply chain, particularly in the coffee and fish sectors, by implementing Dynamic Smart Contracts (DSCs) based on a key-value format framework. Unlike SSCs, DSCs offer enhanced adaptability and scalability, addressing the former's limitations. Our study adopts a mixed-method approach, utilizing both qualitative and quantitative data to validate AniraBlock's effectiveness. Preliminary results show significant improvements in data management and supply chain transparency. The proposed framework has the potential to influence the agricultural sector by boosting data integrity and operational efficiency.

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How to Cite
Saputra, I., Arkeman, Y., Jaya, I., Hermadi, I., Akbar, N. A., & Sutedja, I. (2023). AniraBlock: A leap towards dynamic smart contracts in agriculture using blockchain based key-value format framework. Communications in Science and Technology, 8(2), 154-163. https://doi.org/10.21924/cst.8.2.2023.1240
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Vol. 8 No. 2 (2023)
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References

1. K. Gopi, D. Mazumder, J. Sammut, N. Saintilan, Determining the provenance and authenticity of seafood: A review of current methodologies, Trends Food Sci. Technol. 91 (2019) 294–304.
2. K. Salah, M. H. U. Rehman, N. Nizamuddin, A. Al-Fuqaha, Blockchain for AI: Review and open research challenges, IEEE Access 7 (2019) 10127–10149.
3. Y. Kurniawan, M. A. Rizqulloh, Block cypher four implementation on field programmable gate array, Commun. Sci. Technol. 5(2) (2020) 53–64.
4. F. Branco, F. Moreira, J. Martins, M. Au-Yong-Oliveira, R. Gonçalves, Conceptual Approach for an Extension to a Mushroom Farm Distributed Process Control System: IoT and Blockchain, Adv. Intell. Syst. Comput. 930 (2019) 738–747.
5. R. Iqbal, T. A. Butt, Safe farming as a service of blockchain-based supply chain management for improved transparency, Clust. Comput. 23(3) (2020) 2139–2150.
6. N. Niknejad, W. Ismail, M. Bahari, R. Hendradi, A. Z. Salleh, Mapping the research trends on blockchain technology in food and agriculture industry: A bibliometric analysis, Environ. Technol. Innov. 21 (2021) 101272.
7. J. Førsvoll, S. Åndal, The application of blockchain technology for supply chain visibility-A case study of the fish farming industry, 2019.
8. P. K. Patro, R. Jayaraman, K. Salah, I. Yaqoob, Blockchain-Based Traceability for the Fishery Supply Chain, IEEE Access 10 (2022) 81134–81154.
9. C. Callinan, A. Vega, T. Clohessy, G. Heaslip, Blockchain Assimilation in Fisheries Supply Chain, blockchain.ieee.org, 2022.
10. M. Cordova, K. Nava-Aguirre, Achieving transparency through blockchain: sustainability of fishery supply chain management, Internext 2022.
11. E. Cruz, A. da Cruz, Using Blockchain to Implement Traceability on Fishery Value Chain., ICSOFT, 2020.
12. A. Dmitriev, K. Gjølsjø, A. Phillips, Fisheye on blockchain, 2022.
13. J. C. Ferreira, Fish Control Process and Traceability for Value Creation Using Blockchain Technology, Lect. Notes Netw. Syst. 419 (2022) 761–773.
14. X. Yang, D. Cao, J. Chen, Z. Xiao, A. Daowd, AI and IoT-based collaborative business ecosystem: a case in Chinese fish farming industry, Int. J. Technol. Manage. 82 (2020) 151-171.
15. S. Larissa, J. Parung, Designing supply chain models with blockchain technology in the fishing industry in Indonesia, IOP Conf. Ser. Mater. Sci. Eng. 1072 (2021) 012020.
16. N. I. Arvitrida, D. Rahmawati, D. Lastomo, Rindawati, Kusnadi, Fishery Supply Chains in Indonesia: Improvement Opportunities on The Downstream Side, Proc. Int. Conf. Ind. Enterp. Syst. Eng. (IcoIESE 2018), Yogyakarta, Indonesia, 2019.
17. T. M. Abebe, Blockchain Based Green Coffee Supply Chain Management to Improve Traceability and Transparency (Case Study on Sidama Coffee), Lect. Notes Inst. Comput. Sci. Soc.-Inform. Telecommun. Eng. LNICST 384 (2021) 304–318.
18. Blockchain Modeling for Traceability Information System in Supply Chain of Coffee Agroindustry, IEEE Conf. Publ., 2020.
19. A. J. Garcia Lozano et al., Decent work in fisheries: Current trends and key considerations for future research and policy, Mar. Policy 136 (2022) 104922.
20. M. van Keulen, J. Kirchherr, The implementation of the Circular Economy: Barriers and enablers in the coffee value chain, J. Clean. Prod. 281 (2021) 125033.
21. S. L. Bager, Blockchain is not a silver bullet for agro-food supply chain sustainability: Insights from a coffee case study, Curr. Res. Environ. Sustain. 4 (2022) 100163.
22. I. G. M. T. Pradana, Blockchain modelling for traceability information system in the supply chain of coffee agroindustry, Int. Conf. Adv. Comput. Sci. Inf. Syst. ICACSIS 2020 (2020) 217–224.
23. A. Tharatipyakul, Blockchain-Based Traceability System From the Users’ Perspective: A Case Study of Thai Coffee Supply Chain, IEEE Access 10 (2022) 98783–98802.
24. V. Thiruchelvam, Blockchain-based technology in the coffee supply chain trade: Case of Burundi coffee, J. Telecommun. Electron. Comput. Eng. 10(3) (2018) 121–125.
25. T. Haldar, A. Damodaran, Identifying market power of retailers and processors: Evidence from the coffee supply chain in India, IIMB Manag. Rev. 34(3) (2022) 286–296.
26. A. Rijanto, Blockchain Technology Adoption in Supply Chain Finance, J. Theor. Appl. Electron. Commer. Res. 16(7) (2021) 3078–3098.
27. S. Liu, F. Mohsin, L. Xia, O. Seneviratne, strengthening smart contracts to handle unexpected situations, Proc. - IEEE Int. Conf. Decentralized Appl. Infrastruct. DAPPCON 2019 (2019) 182–187.
28. L. Chen, L. Xu, Z. Gao, Y. Lu, W. Shi, Protecting Early-Stage Proof-of-Work Based Public Blockchain, Proc. - Annu. IEEEIFIP Int. Conf. Dependable Syst. Netw. Workshop DSN-W 2018 (2018) 122–127.
29. A. Dolgui, D. Ivanov, S. Potryasaev, B. Sokolov, M. Ivanova, F. Werner, Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain, Int. J. Prod. Res. 58(7) (2020) 2184–2199.
30. F. Ghaffari, E. Bertin, N. Crespi, S. Behrad, J. Hatin, A Novel Access Control Method Via Smart Contracts for Internet-Based Service Provisioning, IEEE Access 9 (2021) 81253–81273.
31. C. S. Wright, Systems and Methods for Implementing Deterministic Finite Automata (DFA) via a Blockchain, Fourth Int. Congr. Inf. Commun. Technol. Springer Singapore, 2020, 499–512.
32. M. F. Afzaal, A. Rehman, S. Latif, N. A. Zafar, Blockchain based Automated Formal Model for Safety and Security in Smart Parking System, 2019 4th Int. Conf. Emerg. Trends Eng. Sci. Technol. ICEEST (2019) 1–6.
33. K. Sonbol, Ö. Özkasap, I. Al-Oqily, M. Aloqaily, EdgeKV: Decentralized, scalable, and consistent storage for the edge, J. Parallel Distrib. Comput. 144 (2020) 28–40.
34. Redis, Introduction to Redis, 2020.
35. B. K. Rai, S. Fatima, K. Satyarth, Patient-Centric Multichain Healthcare Record, Int. J. E-Health Med. Commun. 13(4) (2022) 1–14.
36. S. Kravenkit, C. So-In, Blockchain-Based Traceability System for Product Recall, IEEE Access 10 (2022) 95132–95150.
37. H. Yin, Y. Pan, H. Jiang, The Implementation of Simple Smart Contract Language and Its Compiler Based on Ethereum Platform, Proc. Int. Conf. Comput. Commun. Inf. Syst. ACM, Ho Chi Minh City Viet Nam, Aug. 2020, 77–82.
38. D. E. Smith, Innovating the Design Process: A Theatre Design Journey, A Focal Press book. Routledge, 2022.
39. Amazon Web Services, What Is a Key-Value Database, 2020.