Master of Science in Business Analytics
Master of Science in Business Analytics
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2021-2022
Blockchain Technology for Organic CPP Spadra Farm
Student Team
Alan Wen, Raymond Tang, Pin Wu, Peter Tallo
Faculty Advisors
Dr. Honggang Wang
Purpose
This research aims to assist CPP Spadra farm in developing a blockchain application to optimize the data collection process and create full traceability and transparency. We wanted to conduct deeper research on blockchain technology and implement story-telling that would describe the role of blockchain technology at CPP Spadra Farm.
Study Design/Methodology/Approach
This project involves developing an example of how blockchain may be used to store valuable data and information using the Python programming language.
Findings
Blockchain, once understood and utilized, is able to revolutionize how we collect data in an agricultural farm setting. The security that is implemented through the unique code creates a competitive advantage for organic sales due to the possibility of fraud and data manipulation in more traditional methods of organic labeling and certification.
Originality/Value
Implementing blockchain technology into CPP farms' data collection methods will help local farmers compete with large-scale competitors by offering a unique solution. Blockchain alters how buyers interpret the organic label by securing and tamper-proofing data like supply chain nodes and harvesting sources. Unique codes and hashes that link blockchain data structures prevent organic food fraud.
Practical Implications
CPP Farm representatives were asked to consider investing in blockchain research for organic farming. We want to encourage strict and tidy data collection to increase organic market transparency. In-store customer preferences for truly organic produce should also be considered.
Keywords
Blockchain for Agriculture, Blockchain, Blockchain in Organic Farm, Traceability, Food supply chain, Organic Certification, Secure