Technology-enabled online aggregated market for smallholder farmers to obtain enhanced farm-gate prices

dc.contributor.authorKumarathunga, Malni
dc.contributor.authorCalheiros, Rodrigo
dc.contributor.authorGinige, Athula
dc.date.accessioned2022-10-31T06:11:03Z
dc.date.available2022-10-31T06:11:03Z
dc.date.issued2021
dc.description.abstractUsing scenario transformation methodology, we identified four scenarios that indicated a lack of trusted parties to sell harvest has forced smallholder farmers to sell the harvest to brokers who often collect the harvest at the farm gate at the lowest possible prices and sell in the market for large profits. As blockchain smart contracts provide a mechanism to reduce risk and establish trust between unknown trading partners, we transformed these into a scenario that establishes trust between farmer and unknown broker using smart contracts, generating a trust-enabled market. This scenario enables farmers to search for the optimum farm-gate price without relying on known brokers. The scenario is further enhanced to enable a Many-one-Many market linkage, facilitating automatic aggregated marketing. The paper presents the functional prototype of the scenario, explaining the functionality of the transformed system.en_US
dc.identifier.citationKumarathunga Malni; Calheiros Rodrigo; Ginige Athula (2021), Technology-enabled online aggregated market for smallholder farmers to obtain enhanced farm-gate prices, International Research Conference on Smart Computing and Systems Engineering (SCSE 2021), Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka. 28-37.en_US
dc.identifier.urihttp://repository.kln.ac.lk/handle/123456789/25349
dc.publisherDepartment of Industrial Management, Faculty of Science, University of Kelaniya Sri Lankaen_US
dc.subjectaggregated market, blockchain, farmer linkage, smart contracts, trusten_US
dc.titleTechnology-enabled online aggregated market for smallholder farmers to obtain enhanced farm-gate pricesen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
SCSE 2021 5.pdf
Size:
869.13 KB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: