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01-Applied Mathematics & Information Sciences
An International Journal


Volumes > Volume 17 > No. 5


Leveraging Blockchain And KNN Algorithm To Enhance Food Safety And Traceability

PP: 1218-1229
G Nivedhitha, B Sabarinathan, V Ragul, S Paulsan, K Dharanikumar,
Blockchain is a distributed ledger technology based on robust cryptographic technology in which transactions are recorded and stored to prevent tampering. Recent research focuses on the central idea of Blockchain and how it can be used to improve productivity, accelerate retail business, and ensure the safety of food and data exchange. To prevent substandard and counterfeit drugs, the idea incorporates novel security features. The Blockchain will guarantee the tracking of any product's supply chain and the creation of a proof of ownership using specific sources, even at the level of individual stockkeeping. When a block is finished, a unique secure code is generated. This code connects to the next page or block, creating a chain of blocks. The transactions made cannot be duplicated or encrypted because the idea is based on a strong cryptographic hash technique; the copies are identical, and specific permission is required to access the data. The information about the food is turned into a QR code that can be scanned to get the original product information. Based on the K-Nearest Neighbor algorithm, the proposed scheme follows the production of foods from manufacturers to distributors, who then sell them to customers. One of the simplest Supervised Learning-based Machine Learning algorithms is K-Nearest Neighbor. The K-NN algorithm assigns the new case/data to the category that is closest to the available categories based on how similar they are to one another. The K-NN algorithm stores all of the data that is available and uses similarity to classify a new data point. After receiving approval from specialized entities, expired products can be returned and redistributed. Additionally, inform customers of the product's validity when scanning the QR code.

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