Blockchain implementation for analysis of carbon footprint across food supply chain
Document Type
Conference Proceeding
Publication Date
7-1-2019
Abstract
The growing global population and the consequential increasing food demand have had a great impact on the environment and thus on the climate. Efforts are being made to reduce carbon footprint to mitigate such effects. Calculating the carbon footprint of food products is complex and requires the cooperation of all the stakeholders of the food supply chain. A record keeping system for tracking carbon footprint while preserving privacy for the related parties is needed. This paper presents a new implementation of blockchain for tracking of carbon footprint on food production and transportation stages. We designed a system that tracks the carbon footprint of food processing facilities and transportation parties using cluster-based record keeping while preserving their privacy. We implemented the proposed carbon footprint chain and evaluated its throughput and latency under different scenarios. We show that our blockchain implementation is capable of operating with a larger number of nodes without any scalability issues.
Identifier
85078704493 (Scopus)
ISBN
[9781728146935]
Publication Title
Proceedings 2019 2nd IEEE International Conference on Blockchain Blockchain 2019
External Full Text Location
https://doi.org/10.1109/Blockchain.2019.00079
First Page
546
Last Page
551
Grant
1830718
Fund Ref
National Science Foundation
Recommended Citation
Shakhbulatov, Denisolt; Arora, Arshit; Dong, Ziqian; and Rojas-Cessa, Roberto, "Blockchain implementation for analysis of carbon footprint across food supply chain" (2019). Faculty Publications. 7475.
https://digitalcommons.njit.edu/fac_pubs/7475
