Grant: Collaborative Research and Training Experience
University of Saskatchewan
$145,700.00
NSERC CREATE in Computational Agriculture
EF 2023-24
Résumé
agronomy; bioinformatics; crop breeding; data & image analysis; genomics; machine learning; plant phenotyping; precision agriculture; predictive modeling; software development
Programme
Collaborative Research and Training Experience
Bénéficiaire
Emplacement
Saskatchewan, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
575456-2023
Name nom
Stavness, Ian IK
Department département
Computer Science
Organization id
16
Institution établissement
University of Saskatchewan
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2023
Award amount
145700
Program id
CREAT
Program name en
Collaborative Research and Training Experience
Program name fr
Programme de formation orientée vers la nouveauté, la collaboration et l'expérience en recherche
Group en
RESEARCH TRAINING AND TALENT DEVELOPMENT
Group fr
FORMATION EN RECHERCHE ET PERFECTIONNEMENT DES COM
Committee code
1078
Committee name en
CREATE Program
Committee name fr
Programme FONCER
Area of application code
1209
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Agriculture
Area of application fr
Agriculture
Research subject code
4908
Research subject group en
Plant and treebiology
Research subject group fr
Crop and pasture production,breeding
Research subject en
Biologie végétale et des arbres
Research subject fr
Production et amélioration génétique des cultures
Application title
NSERC CREATE in Computational Agriculture
Keyword
agronomy; bioinformatics; crop breeding; data & image analysis; genomics; machine learning; plant phenotyping; precision agriculture; predictive modeling; software development
Application summary
agronomy; bioinformatics; crop breeding; data & image analysis; genomics; machine learning; plant phenotyping; precision agriculture; predictive modeling; software development
