Canada Spends Logo

Explore our Budget 2026 analysis

Grant: Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives

Alberta Machine Intelligence Institute

$169,884.00

AI and Machine Learning for Crop Genomics

FY 2024-25 · 2024-12-11

Summary
This project’s objectives are to apply data-driven discovery to support efforts that will enhance the production of Canadian protein crops. The Alberta Machine Intelligence Institute (Amii) will apply Artificial Intelligence/Machine Learning (AI/ML) methods to genomics datasets generated at the National Research Council (NRC). Specifically, this project’s primary objective is to develop models that predict gene expression directly from DNA sequences. This collaboration at the intersection of AI and the biology of plant proteins will extract meaningful biological patterns and produce valuable information for future research and application in diverse agricultural fields. The unique interdisciplinary nature of this project will lay the foundation for training a High-Quality Professional while integrating burgeoning fields of applied and basic science.
Program
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Location
Edmonton|Edmonton, Alberta, Canada
Recipient Type
Not-for-profit organization or charity
Business Number
785257288
Type
Grant
Source
Proactive Disclosure - Grants and Contributions

As published

Agreement End Date
2026-03-31
Agreement Number
1025128
Agreement Start Date
2024-12-11
Agreement Title
AI and Machine Learning for Crop Genomics
Agreement Title (French)
L'IA et l'apprentissage automatique au service de la génomique des cultures
Agreement Type
Grant
Agreement Value
$169,884.00
Amendment Number
0
Description
This project’s objectives are to apply data-driven discovery to support efforts that will enhance the production of Canadian protein crops. The Alberta Machine Intelligence Institute (Amii) will apply Artificial Intelligence/Machine Learning (AI/ML) methods to genomics datasets generated at the National Research Council (NRC). Specifically, this project’s primary objective is to develop models that predict gene expression directly from DNA sequences. This collaboration at the intersection of AI and the biology of plant proteins will extract meaningful biological patterns and produce valuable information for future research and application in diverse agricultural fields. The unique interdisciplinary nature of this project will lay the foundation for training a High-Quality Professional while integrating burgeoning fields of applied and basic science.
Description (French)
Le présent projet exploitera la découverte guidée par les données afin de soutenir les efforts déployés pour améliorer la production de cultures protéiques canadiennes. L’Alberta Machine Intelligence Institute (Amii) appliquera des méthodes d’intelligence artificielle et d’apprentissage automatique (IA/AA) aux ensembles de données génomiques générés au Conseil national de recherches du Canada (CNRC). Il servira plus précisément à développer des modèles qui prédisent l’expression des gènes directement à partir des séquences d’ADN. Cette collaboration à l’intersection de l’IA et de la biologie des protéines végétales permettra d’extraire des modèles biologiques utiles et de produire des informations précieuses pour la recherche et l’application futures dans divers domaines de l’agriculture. La nature interdisciplinaire unique de ce projet jettera les bases de la formation d’un ou une spécialiste de haut niveau tout en intégrant les domaines en plein essor de la science appliquée et de la science fondamentale.
Expected Results
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Expected Results (French)
À court terme, les résultats prévus seront des collaborations renforcées entre l'industrie, le milieu universitaire et le gouvernement pour soutenir l'excellence en recherche. À moyen terme, les résultats attendus seront le développement de nouvelles technologies potentiellement perturbatrices avec des collaborateurs. À long terme, trouver des solutions collaboratives aux défis des politiques publiques et créer des systèmes d'innovation plus solides.
Federal Riding
Edmonton Centre
Federal Riding (French)
Edmonton-Centre
Federal Riding Number
48015
NAICS Code
541710
Organization Code
nrc-cnrc
Organization
National Research Council Canada | Conseil national de recherches Canada
Program Name
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Name (French)
Programme de collaboration en science, en technologie et en innovation - Initiatives de collaboration en R-D
Program Purpose
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
Program Purpose (French)
Collaborer à des programmes multipartites de recherche-développement dans le but de profiter de la synergie entre la recherche transformatrice à haut risque et à haut rendement et le potentiel de découvertes scientifiques et de percées technologiques révolutionnaires dans des secteurs d’intervention prioritaires.
Recipient Business Number
785257288
Recipient City
Edmonton|Edmonton
Recipient Country
CA
Recipient Legal Name
Alberta Machine Intelligence Institute
Recipient Postal Code
T5J 3B1
Recipient Province or Territory
AB
Recipient Type
N
Reference Number
172-2024-2025-Q3-1025128