SECURING SOIL HEALTH: LEVERAGING BLOCKCHAIN TECHNOLOGY FOR RELIABLE SOIL SAMPLING & TESTING
Keywords:
Blockchain, Data Integrity, Transparency, Security, Soil sampling & testing, Sustainable agricultureAbstract
For efficient land management and harvesting, reliable soil testing and sampling is an essential component of agricultural techniques. The accuracy of soil data is at risk, though, due to problems like farmers using the same names and the frequency of inaccurate test results. Soil sampling and testing procedures may be made more secure and trustworthy with the use of blockchain technology, which is discussed in this study. Our proposed decentralized solution makes use of blockchain technology to avoid mistakes associated with shared names while also guaranteeing transparent record-keeping, immutable data verification, and safe farmer identification. Not only does our method ensure that soil test findings are genuine, but it also helps to build confidence among those involved in agriculture. Our case study illustrates how this technology may be put into reality and how it could transform soil management techniques. This, in turn, can lead to more sustainable agricultural results.
References
Albaaji, G. F., & Chandra, S. S. V. (2024). Blockchain technology in agriculture: Digitizing the Iraqi agricultural environment | Environment, Development and Sustainability. https://link.springer.com/article/10.1007/s10668-024-04623-4
Ali, Md. A., Balamurugan, B., Dhanaraj, R. K., & Sharma, V. (2022). IoT and Blockchain based Smart Agriculture Monitoring and Intelligence Security System. 2022 3rd International Conference on Computation, Automation and Knowledge Management (ICCAKM), 1–7. https://doi.org/10.1109/ICCAKM54721.2022.9990243
Aliyu, A. A., & Liu, J. (2023). Blockchain-Based Smart Farm Security Framework for the Internet of Things. Sensors, 23(18), Article 18. https://doi.org/10.3390/s23187992
Dey, K., & Shekhawat, U. (2021). Blockchain for sustainable e-agriculture: Literature review, architecture for data management, and implications. Journal of Cleaner Production, 316, 128254. https://doi.org/10.1016/j.jclepro.2021.128254
Hassan, M. U., Rehmani, M. H., & Chen, J. (2020). Differential privacy in blockchain technology: A futuristic approach. Journal of Parallel and Distributed Computing, 145, 50–74. https://doi.org/10.1016/j.jpdc.2020.06.003
Karlen, D. L., Mausbach, M. J., Doran, J. W., Cline, R. G., Harris, R. F., & Schuman, G. E. (1997). Soil Quality: A Concept, Definition, and Framework for Evaluation (A Guest Editorial). Soil Science Society of America Journal, 61(1), 4–10. https://doi.org/10.2136/sssaj1997.03615995006100010001x
Kaur, J., & Sran, E. S. S. (2012). SBPGP Security based Model in Large Scale Manets. 4(1), 1–10.
Kouhizadeh, M., & Sarkis, J. (2018). Blockchain Practices, Potentials, and Perspectives in Greening Supply Chains. Sustainability, 10(10), Article 10. https://doi.org/10.3390/su10103652
Kshetri, N. (2017). Blockchain’s roles in strengthening cybersecurity and protecting privacy. Telecommunications Policy, 41(10), 1027–1038.
Lal, R. (2015). Restoring Soil Quality to Mitigate Soil Degradation. Sustainability, 7(5), Article 5. https://doi.org/10.3390/su7055875
Lawrence, P. G., Roper, W., Morris, T. F., & Guillard, K. (2020). Guiding soil sampling strategies using classical and spatial statistics: A review. Agronomy Journal, 112(1), 493–510. https://doi.org/10.1002/agj2.20048
Lin, W., Huang, X., Fang, H., Wang, V., Hua, Y., Wang, J., Yin, H., Yi, D., & Yau, L. (2020). Blockchain Technology in Current Agricultural Systems: From Techniques to Applications. IEEE Access, 8, 143920–143937. IEEE Access. https://doi.org/10.1109/ACCESS.2020.3014522
Liu, W., Shao, X.-F., Wu, C.-H., & Qiao, P. (2021). A systematic literature review on applications of information and communication technologies and blockchain technologies for precision agriculture development. Journal of Cleaner Production, 298, 126763. https://doi.org/10.1016/j.jclepro.2021.126763
McBratney, A., Field, D. J., & Koch, A. (2014). The dimensions of soil security. Geoderma, 213, 203–213. https://doi.org/10.1016/j.geoderma.2013.08.013
Nakasumi, M. (2017). Information Sharing for Supply Chain Management Based on Block Chain Technology. 2017 IEEE 19th Conference on Business Informatics (CBI), 01, 140–149. https://doi.org/10.1109/CBI.2017.56
Podder, A., Paul, S., Sen, A., Roy, K., & Chakraborty, A. (2024). Revolutionizing the Agriculture and Food Industry through Blockchain Technology: Challenges and Opportunities. Educational Administration: Theory and Practice, 30(6), Article 6. https://doi.org/10.53555/kuey.v30i6.5148
Singh, R., & Singh, S. (2011), Detection of Rogue Base Station using MATLAB.International Journal of Soft Computing and Engineering, 1(5), 190–201.
Tang, A., Tchao, E. T., Agbemenu, A. S., Keelson, E., Klogo, G. S., & Kponyo, J. J. (2024). Assessing blockchain and IoT technologies for agricultural food supply chains in Africa: A feasibility analysis. Heliyon, 10(15). https://doi.org/10.1016/j.heliyon.2024.e34584
Tian, F. (2016). An agri-food supply chain traceability system for China based on RFID & blockchain technology. 2016 13th International Conference on Service Systems and Service Management (ICSSSM), 1–6. https://doi.org/10.1109/ICSSSM.2016.7538424
Tripoli, M., & Schmidhuber, J. (2020). Emerging opportunities for the application of blockchain in the agri-food industry. https://policycommons.net/artifacts/1422549/emerging-opportunities-for-the-application-of-blockchain-in-the-agri-food-industry/2036638/
Vangala, A., Sutrala, A. K., Das, A. K., & Jo, M. (2021). Smart Contract-Based Blockchain-Envisioned Authentication Scheme for Smart Farming. IEEE Internet of Things Journal, 8(13), 10792–10806. IEEE Internet of Things Journal. https://doi.org/10.1109/JIOT.2021.3050676
Xiong, H., Dalhaus, T., Wang, P., & Huang, J. (2020). Blockchain Technology for Agriculture: Applications and Rationale. Frontiers in Blockchain, 3. https://doi.org/10.3389/fbloc.2020.00007
Zheng, Z., Xie, S., Dai, H.-N., Chen, X., & Wang, H. (2018). Blockchain challenges and opportunities: A survey. International Journal of Web and Grid Services, 14(4), 352–375.
Zhong, B., Guo, J., Zhang, L., Wu, H., Li, H., & Wang, Y. (2022). A blockchain-based framework for on-site construction environmental monitoring: Proof of concept. Building and Environment, 217, 109064. https://doi.org/10.1016/j.buildenv.2022.109064
Zhu, L., & Li, F. (2021). Agricultural data sharing and sustainable development of ecosystem based on block chain. Journal of Cleaner Production, 315, 127869. https://doi.org/10.1016/j.jclepro.2021.127869
