AgriBlock: A Blockchain based Framework for Agricultural Supply Chain Management

Main Article Content

Deepak Kumar Acharya
Manish Shrivastava
Payodhar Padhi

Abstract

To facilitate complex interactions between regional players and the agricultural environment, modern agriculture supply chains have arisen. Supply chain processes that include several parties, such as production, processing, and delivery, interacting with one another. Lack of transparency in the agricultural supply chain is a major contributor to the incidence of fraud in this industry. A lack of openness on the part of organisations leads to worries about potential financial losses, diminishing customer trust, and dwindling brand value. Several fundamental changes to the existing supply chain architecture are required to foster the development of an effective and reliable trade environment. It is widely recognised that blockchain technology has the potential to increase visibility across agricultural and food supply chains. Businesses are using blockchain and IoT to implement more egalitarian, sustainable, and consumer-friendly methods of food production. Based on what we learned, blockchain technology may be useful in the push for a more transparent and responsible food supply chain. The primary goal of this study is to create a decentralised application framework called AgriBlock that can be used for managing the supply chains of agricultural products using blockchain technology. The developed work AgriBlock will aid in making the supply chain process more open and clear to every participant involved.

Article Details

How to Cite
Acharya, D. K. ., Shrivastava, M. ., & Padhi, P. . (2023). AgriBlock: A Blockchain based Framework for Agricultural Supply Chain Management. International Journal on Recent and Innovation Trends in Computing and Communication, 11(10s), 249–256. https://doi.org/10.17762/ijritcc.v11i10s.7625
Section
Articles

References

A. Panigrahi, A. K. Nayak, and R. Paul, “Smart contract assisted blockchain based public key infrastructure system,” Transactions on Emerging Telecommunications Technologies, Oct. 2022, doi: https://doi.org/10.1002/ett.4655.

N.Y. Harun, M.T. Afzal, Combustion behavior and thermal analysis of agricultural and woody biomass blends, Adv. Environ. Biol. 9 (15) (2015) 34–40.

M.A. Hossain, M. Quaddus, N. Islam, Developing and validating a model explaining the assimilation process of RFID: An empirical study, Inf. Syst. Front.18 (4) (2016) 645–663.

A. Panigrahi, A. K. Nayak, R. Paul, B. Sahu and S. Kant, "CTB-PKI: Clustering and Trust Enabled Blockchain Based PKI System for Efficient Communication in P2P Network," in IEEE Access, vol. 10, pp. 124277-124290, 2022, doi: 10.1109/ACCESS.2022.3222807.

M. Yuan, P. Chahal, E.C. Alocilja, et al., Wireless biosensing using silverenhancement based self-assembled antennas in passive Radio FrequencyIdentification, RFID tags, IEEE Sens. J. 15 (8) (2015) 4442–4450.

A. Panigrahi, A. K. Nayak and R. Paul, "Impact of Clustering technique in enhancing the Blockchain network performance," 2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS), Bhubaneswar, India, 2022, pp. 363-367, doi: 10.1109/MLCSS57186.2022.00072.

S.S. Ibrahim, A. Ibrahim, A.N. Allah, et al., Building of a community cattle ranchand Radio Frequency Identification, RFID technology as alternative methods ofcurtailing cattle rustling in Katsina state, Pastoralism 6 (1) (2016) 1–9.

B. Yan, S. Shi, B. Ye, et al., Sustainable development of the fresh agriculturalproducts supply chain through the application of RFID technology, Inf. Technol.Manag. 16 (1) (2015) 67–78.

X. Dong, W. Jianbo, J. Tong, et al., Locating logistics locations of suspiciousagricultural production food safety emergencies, Adv. J. Food Sci. Technol. 8 (6)(2015) 452–455.

R. Zayou, M.A. Besbe, H. Hamam, et al., Agricultural and environmental applications of RFID technology, Int. J. Agric. Environ. Inf. Syst. 5 (29) (2017) 50–65.

C. Chen, X. Xu, Design and application of traceability and supervision platformfor broiler based on internet of things, Nongye Gongcheng Xuebao/Trans. Chin.Soc. Agric. Eng. 33 (5) (2017) 224–231.

A. Panigrahi, A. K. Nayak, and R. Paul, “A Blockchain Based PKI System for Peer to Peer Network,” Lecture Notes in Networks and Systems, pp. 81–88, 2022, doi: https://doi.org/10.1007/978-981-16-4807-6_9.

Robert Roberts, Daniel Taylor, Juan Herrera, Juan Castro, Mette Christensen. Integrating Virtual Reality and Machine Learning in Education. Kuwait Journal of Machine Learning, 2(1). Retrieved from http://kuwaitjournals.com/index.php/kjml/article/view/175

T. Ojha, S. Misra, N.S. Raghuwanshi, Wireless sensor networks for agriculture:The state-of-the-art in practice and future challenges, Comput. Electron. Agric.118 (3) (2015) 66–84.

T. Chi, M. Chen, A frequency hopping method for spatial RFID/WIFI/Bluetoothscheduling in agricultural IoT, Wirel. Netw. (10) (2017) 1–13.

L. Olinde, J.P.L. Johnson, Using RFID and accelerometer-embedded tracers tomeasure probabilities of bed load transport, step lengths, and rest times in amountain stream, Water Resour. Res. 51 (9) (2015) 7572–7589.

D. Dujak and D. Sajter, “Blockchain Applications in Supply Chain,” SMART Supply Network, pp. 21–46, Jun. 2018, doi: https://doi.org/10.1007/978-3-319-91668-2_2.

Y. Chang, E. Iakovou, and W. Shi, “Blockchain in global supply chains and cross border trade: a critical synthesis of the state-of-the-art, challenges and opportunities,” International Journal of Production Research, vol. 58, no. 7, pp. 1–18, Aug. 2019, doi: https://doi.org/10.1080/00207543.2019.1651946.

Carter, C.R.; Rogers, D.S. A Framework of Sustainable Supply Chain Management: Moving toward New Theory. Int. J. Phys.Distrib. Logist. Manag. 2008, 38, 360–387.

T. Pizzuti and G. Mirabelli, “The Global Track&Trace System for food: General framework and functioning principles,” Journal of Food Engineering, vol. 159, pp. 16–35, Aug. 2015, doi: https://doi.org/10.1016/j.jfoodeng.2015.03.001.

Lakhani, K.R.; Iansiti, M. The truth about blockchain. Harv. Bus. Rev. 2017, 95, 119–127.

“Traceability (Product Tracing) in Food Systems: An IFT Report Submitted to the FDA, Volume 1: Technical Aspects and Recommendations,” Comprehensive Reviews in Food Science and Food Safety, vol. 9, no. 1, pp. 92–158, Jan. 2010, doi: https://doi.org/10.1111/j.1541-4337.2009.00097.x.

Bozarth, C.C.; Handfield, R.B.; Weiss, H.J. Introduction to Operations and Supply Chain Management; Pearson Prentice Hall: UpperSaddle River, NJ, USA, 2008.

M. M. Aung and Y. S. Chang, “Traceability in a food supply chain: Safety and quality perspectives,” Food Control, vol. 39, pp. 172–184, May 2014, doi: https://doi.org/10.1016/j.foodcont.2013.11.007.

Baker, J.; Steiner, J. Provenance Blockchain: The Solution for Transparency in Product Supply Chains. Provenance. 2015. Availableonline: https://www.provenance.org/whitepaper (accessed on 10 September 2021).

The Farm Management Software for Agriculture Industry | AgriOpenData,” www.agriopendata.it. https://www.agriopendata.it/

F. Tian, "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), Kunming, 2016, pp. 1-6, doi: 10.1109/ICSSSM.2016.7538424.

Sayel M. Fayyad, Mohammad Abuzalatah, Mohannad Rawashdeh, A. M. Maqableh, Zaid Abulghanam. (2023). Control, Design and Analysis of Delta 3D Printer . International Journal of Intelligent Systems and Applications in Engineering, 11(4s), 444–457. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2702

“Arc-net - Brand Protection and Security through Transparency. Trace. Verify. Trust,” arc-net.io. http://arc-net.io/ (accessed Jul. 24, 2023).

R. Hackett, “Walmart and 9 Food Giants Team Up on IBM Blockchain Plans,” Fortune, Aug. 22, 2017. https://fortune.com/2017/08/22/walmart-blockchain-ibm-food-nestle-unilever-tyson-dole/

A. Panigrahi, A. K. Nayak, and R. Paul, “HealthCare EHR,” International Journal of Information Systems and Supply Chain Management, vol. 15, no. 3, pp. 1–15, Jul. 2022, doi: https://doi.org/10.4018/ijisscm.290017.