Data Amalgamation and Analysis across Agricultural Data Silos

The agriculture industry uses multiple disparate data sources. Examples of these data sources includes different types of sensors like moisture sensors, weather information, intelligent farming equipment like tractors, and grain tracking applications. This project will integrate two data sources into a common hosted platform. Existing software such as Esri, for geospatial data and analytics, PI System for operational data (IoT) to provide situational awareness, and Maximo for asset management and tracking.

While Mera‘s partners in the agricultural industry have outlined numerous specific needs that are often siloed and are difficult to integrate, this project will look specifically at the initial creation of a central system to consolidate data and provide a user interface to view this data. We will be taking two data sources and integrating them into a central storage solution. These data sources are being identified as part of an in progress NSERC Engage grant and they will be selected prior to the interns starting.

Faculty Supervisor:

Cyril Coupal;Lizeanne St. Pierre

Student:

Partner:

Mera Development Corp.

Discipline:

Computer science

Sector:

Agriculture

University:

Saskatchewan Polytechnic

Program: