Farm to Fork: Blockchain-Based Supply Chain Management System for Spices Using Machine Learning
摘要
Spices should be authentic for customers to justify consumption, but counterfeiting, and increasing prices are challenges in spices sector. This is compounded by the absence of information on the full manufacturing of spices and the labelling problem. In response to this issue, the present study intends to develop a decentralized blockchain system. It will expand customer convenience by allowing them to view and monitor the flow of spices/herbs from the farmer to the bowl. The information that it will include are of origin, quality control measures, storage and roasting sites, as well as manufacturing and expiration dates. Further, the system will be able to provide transparency at all the levels and provide feedback generated using machine learning algorithms. Through it, the companies would be free from fraudulent products, customers, etc.; they would also give customers a guarantee that the spices/herbs they are buying are genuine products.