Enterprise Machine Intelligence and Learning Initiative: federal grants and contributions: 5 agreements; $6.6M value; 3 departments; 3 programs.
Assay record ASY-CA-0I3MEAS1SZ · Cite as: Assay Systems, “Enterprise Machine Intelligence and Learning Initiative: federal grants and contributions”, https://assay-systems.com/register/ca/grants/r/enterprise-machine-intelligence-and-learning-initiative/
Enhance sustainability through digital agriculture innovation and adoption in Manitoba
Enhance digital agriculture adoption through research, training and business supports
Implementation of digital agriculture through high throughput-imaging is key to improving plant phenotyping for crop improvement. Image analyses utilizing machine learning (ML) approaches have the potential to dramatically improve crop phenotyping. The intent of the project is to capture above-ground image datasets of peas in an agricultural field, establish an ML pipeline to identify plants and quantify biomass, and begin to associate field traits such as yield and protein with beneficial root traits. For roots, an automated ML pipeline will be established to characterize rhizobium nodules an
Through the application of national and local priorities, the CSJ program seeks to provide youth, particularly those who face barriers to employment with access to work opportunities. Funded employers must demonstrate that they are providing quality work experiences for youth that provide opportunities to develop and improve their skills.
Through the application of national and local priorities, the CSJ program seeks to provide youth, particularly those who face barriers to employment with access to work opportunities. Funded employers must demonstrate that they are providing quality work experiences for youth that provide opportunities to develop and improve their skills.
Contains information licensed under the Open Government Licence – Canada. Source: Government of Canada proactive disclosure of grants and contributions (open.canada.ca, dataset 432527ab-7aac-45b5-81d6-7597107a7013), 1,327,352 rows as published, collapsed to one agreement per agreement number (per reference number where none is given) at its latest amendment, which carries the full agreement value. Years are the agreement start year. Agreements with individuals are counted but not named.