Asset Data Amalgamation and Analysis for Agricultural Platform

点击翻译按钮获取中文摘要

In partnership with Mera Development Corp (MDC), Saskatchewan Polytechnic (SP) is developing a sub system for MDC's Asset Data Management (ADaM) platform. Specifically, the proposed applied research will develop a system capable of performing data aggregation and migration across multiple corporate databases while maintaining or introducing relationships between the data points. The system infrastructure will collect, scan and import data to a NoSQL database (Lake). That aggregated data will be used to support machine learning (ML) and AI algorithms to provide end users with analysis of their data. The Engage phase of the project will focus on data migration and preprocessing. This will involve: (a) building the database (DB) and user interface, (b) determine how to best migrate the data from different types (brands) of database (c) and selection of the appropriate preprocessing techniques for that data. This sets the foundation to allow individuals without extensive data expertise to migrate and preprocess their data. The application will benefit anyone who needs to take more control over their data aggregation strategies and aid in the application of ADaM functionality to improve and optimize their business and manufacturing processes.