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Blockchain-based Farming Activities Tracker for Enhancing Trust in the Community Supported Agriculture Model
- Source :
- ICTC
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- Community Supported Agriculture (CSA) model is an efficient solution that not only solves the problem of the agricultural product’s origin but also provides a method to share the market risk between consumers and producers. In the CSA model, consumers order and pay for products in advance. Then, the producers will send packages of fresh products to consumers after a fixed period corresponding to the paid amount. However, the critical weakness of the CSA model is the lack of solutions for both sides to demonstrate the product’s quality, which makes consumers unsure about the condition of receiving products. In consequence, consumers become hesitant to order and pay money in advance. In this paper, we will propose a novel solution that allows consumers to track their products through agricultural diaries recorded by farmers every day. The key difference of the proposed solution is to leverage Blockchain technology advantages in authenticating and protecting the integrity of information. Such that, consumers could track all steps in the production process quickly and reliably. Meanwhile, producers can build and increase their enterprise branding by transferring product information transparently and responsibly.
- Subjects :
- Leverage (finance)
Blockchain
Traceability
Computer science
business.industry
media_common.quotation_subject
010401 analytical chemistry
04 agricultural and veterinary sciences
Environmental economics
040401 food science
01 natural sciences
0104 chemical sciences
Product (business)
0404 agricultural biotechnology
Leverage (negotiation)
Market risk
Order (business)
Agriculture
Key (cryptography)
Quality (business)
business
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 International Conference on Information and Communication Technology Convergence (ICTC)
- Accession number :
- edsair.doi...........7c50f0ce98575a930d4f3852fbbf52a0
- Full Text :
- https://doi.org/10.1109/ictc49870.2020.9289297