complete like this improving the management and au-
ditability of the records, making it transparent to the
official bodies involved. A case study mapped with
BPMN of the health certification of poultry establish-
ments in the state of Rio Grande do Sul for breeding
birds was presented. Mapping that made it possible
to apply the knowledge acquired for the implemen-
tation of a blockchain integration prototype with the
already existing PDSA-RS platform, with the objec-
tive of storing the data generated in the certification to
obtain traceability and auditability of high confidence
and of added value.
Therefore, the prototype fulfilled its objective by
bringing to the certification process the benefits that a
blockchain provides us, such as transparency, agility,
immutability, security and reliability, but at the same
time, it brought us a problem of poor performance
when recovering data according to blockchain size
increase. The problem was solved with a change in
how to insert the data in the blockchain and with a log
schema implemented in a relational database, witch
gives better data recover performance and query ca-
pabilities, uniting the benefits of both (blockchain and
database).
Future works envisaged so far are: (i) Compare
performance and benefits of different blockchains im-
plementations, like Ethereum and Hyperldger, in the
context of private blockchains, (ii) Develop more
Smart Contracts, to automate more parts of the pro-
cess and make it more and more intelligent, (iii) Im-
prove Smart Contract performance and correctness
and (iiii) Identify and map similar processes with the
potential for implementing blockchains.
ACKNOWLEDGEMENTS
This work is part of ”Research and Development of
Innovative Technologies Focused on Agribusiness”
(n. 051568) and is financed by FUNDESA.
REFERENCES
Arora, N. K. and Mishra, J. (2020). Covid-19 and impor-
tance of environmental sustainability. Environmental
Sustainability, page 1.
Brazil, M. (2021). Minist
´
erio da agricultura, pecu
´
aria
e abastecimento; programa nacional de sanidade
av
´
ıcola (pnsa). https://www.gov.br/agricultura/pt-br/
assuntos/sanidade-animal-e-vegetal/saude-animal/
programas-de-saude-animal/sanidade-avicola. Ac-
cessed: 2021-01-04.
Dannen, C. (2017). Introducing Ethereum and solidity, vol-
ume 318. Springer.
Feng, H., Wang, X., Duan, Y., Zhang, J., and Zhang, X.
(2020). Applying blockchain technology to improve
agri-food traceability: A review of development meth-
ods, benefits and challenges. Journal of Cleaner Pro-
duction, page 121031.
Johnson, D., Menezes, A., and Vanstone, S. (2001). The el-
liptic curve digital signature algorithm (ecdsa). Inter-
national journal of information security, 1(1):36–63.
Kosba, A., Miller, A., Shi, E., Wen, Z., and Papamanthou,
C. (2016). Hawk: The blockchain model of cryptog-
raphy and privacy-preserving smart contracts. In 2016
IEEE symposium on security and privacy (SP), pages
839–858. IEEE.
Ko
ˇ
st’
´
al, K., Helebrandt, P., Bellu
ˇ
s, M., Ries, M., and Ko-
tuliak, I. (2019). Management and monitoring of iot
devices using blockchain. Sensors, 19(4):856.
Makkar, H. P., Costa, C., et al. (2020). Potential blockchain
applications in animal production and health sector.
CAB Reviews, 15(035):1–8.
Miers, C., Koslovski, G., Pillon, M., Simpl
´
ıcio Jr, M. A.,
UZH, B. B. R., and Battisti, J. H. (2019). An
´
alise
de mecanismos para consenso distribu
´
ıdo aplicados a
blockchain.
Nakamoto, S. and Bitcoin, A. (2008). A peer-to-peer elec-
tronic cash system. Bitcoin.–URL: https://bitcoin.
org/bitcoin. pdf, 4.
Omohundro, S. (2014). Cryptocurrencies, smart contracts,
and artificial intelligence. AI matters, 1(2):19–21.
Tripoli, M. and Schmidhuber, J. (2018). Emerging oppor-
tunities for the application of blockchain in the agri-
food industry. FAO and ICTSD: Rome and Geneva.
Licence: CC BY-NC-SA, 3.
Vingerhouts, A. S., Heng, S., and Wautelet, Y. (2020). Or-
ganizational modeling for blockchain oriented soft-
ware engineering with extended-i* and uml. In CEUR
Workshop Proceedings, volume 2749, pages 23–34.
CEUR Workshop Proceedings.
Wang, S., Ouyang, L., Yuan, Y., Ni, X., Han, X., and Wang,
F.-Y. (2019a). Blockchain-enabled smart contracts:
architecture, applications, and future trends. IEEE
Transactions on Systems, Man, and Cybernetics: Sys-
tems, 49(11):2266–2277.
Wang, Y., Han, J. H., and Beynon-Davies, P. (2019b). Un-
derstanding blockchain technology for future supply
chains: a systematic literature review and research
agenda. Supply Chain Management: An International
Journal.
Zheng, Z., Xie, S., Dai, H.-N., Chen, X., and Wang, H.
(2018). Blockchain challenges and opportunities: A
survey. International Journal of Web and Grid Ser-
vices, 14(4):352–375.
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