Title:
Intelligent management of forage systems: reducing methane emissions
Agreement Number:
1025487
Agreement Value:
$150,000.00
Agreement Date:
Nov 18, 2024 - Oct 31, 2025
Description:
Development of a decision-support tool to help farmers reduce enteric methane emissions, a major component of agricultural greenhouse gases. The tool developed will make it possible to plan, optimize and monitor the impact of agricultural practices on greenhouse gases.
Organization:
National Research Council Canada
Expected Results:
The NRC IRAP Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Location:
Montreal, Quebec, CA H3K 2Y3
Reference Number:
172-2024-2025-Q4-1025487
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
766125702
Recipient Type:
For-profit organization
Additional Information:
This agreement has been amended 1 time(s). The end date of this agreements has been modified by 119 days.
Amendment Date
Jul 18, 2025
Recipient's Operating Name:
My Forage Systems inc.
Recipient's Legal Name:
My Forage Systems inc.
Federal Riding Name:
Ville-Marie--Le Sud-Ouest--Île-des-Soeurs
Federal Riding Number:
24077
Program:
Industrial Research Assistance Program – AI Assist
Program Purpose:
The NRC IRAP Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Coverage:
The AI Assist program is designed to help innovative SMEs navigate the challenges of developing and adapting generative AI (GenAI) and deep learning (DL) solutions and to assist SMEs with awareness, planning and execution in order to develop these technologies safely and ethically.