EnviroByte Inc.
$195,000.00 CAD
- Department
- National Research Council Canada
- Recipient country
- Canada
- Fiscal year
- 2024-2025
- Agreement period
- April 1, 2024 – March 31, 2026
- Reference
- nrc-cnrc:172-2024-2025-Q1-1018340
Published purpose
To take impactful climate actions, it is key to measure and understand the factual reality of the problems. The measurement and reporting of greenhouse gas (GHG) emissions is becoming widespread across industries and countries as society attempts to reduce GHG emissions. The lack of quality data hinders our ability to accurately report GHG emissions and predict the impacts. This project aims to develop software to bridge data gap using machine learning (ML) methods and provide quality data to quantify, report, and/or verify emissions data in a reliable, timely and transparent manner and to automate reporting processes easing reporting burdens.
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