Title:
Evaluation and optimization of machine learning models to optimize agricultural decision tools with new and existing agricultural data
Agreement Number:
1032758
Agreement Value:
$75,000.00
Agreement Date:
Jul 1, 2025 - Mar 31, 2026
Description:
The Project will support pilot testing of AI strategies, determine target architecture and quantitative technical objectives for implementation of an AI solution.
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:
Etobicoke, Ontario, CA M9W 1H1
Reference Number:
172-2025-2026-Q2-1032758
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
882128150
Recipient Type:
For-profit organization
Recipient's Operating Name:
NUTRIAG
Recipient's Legal Name:
Nutriag Ltd
Federal Riding Name:
Etobicoke North
Federal Riding Number:
35029
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.