Blockchain-Internet of things-Machine Learning: Development of Traceable System for Multi Purposes
K. Kowsalya, R. Paritala Jhansi Rani, Ritu Ritu, Malika Bhiyana, Manisha Saini, Pravin P. Patil
Abstract
The Iot devices (IoT) and cryptocurrencies may be combined to create a platform that promotes improved and sustainable and credibility. The resulting innovations have been used in a number of industries, most notably in the monitoring of farm products. Particularly Ai devices (such as RFID, GIS, Geolocation, and others) have the capacity to streamline the collection of data pertaining to crucial traceable features. To handle, store, and search for information, data is acquired and put into the public ledger. The data security that enters the system may be ensured via a dispersed, randomized, and noninflatable cryptocurrency. Nonetheless, IoT devices could produce aberrant data as they gather data.This study evaluates the entire beverage distribution network from sowing to sales, develops the network topology and each operate effectively, and patterns and enforces a computer vision (Fluid ounces) proof - of - stake tea reputable monitoring system, which considers literally the entire record keeping chain of food goods (MBITTS). This article presents a unique approach based on Internet of Things (IoT) technologies, such as RFID sensors, for enhancing the precision of cryptocurrency source data.