Large scale growth chamber, Imaging equipment, RGB camera, multi- and hyperspectral cameras, laser scanners and photogrammetry for 3d plant models, large image data base that will be accessible to Canadian researchers and industry through a unique collaboration with ComputeCanada and EMILI, data rover
Other
The TerraByte project at UWinnipeg has several goals to improve and develop digital ag: 1) the development of large databases of plant and weed images that will be open to Canadian researchers and industry, (2) the development of machine learning (ML) models for plant identification and classification that will be useful for automated methods of phenotyping/breeding, disease detection, weed detection, etc.; (3) the development of new imaging techniques and sensors that can assist with these tasks, (iv) the development of an automated data rover to collect high volumes and quality of such data in test plots; (5) extensive academic and industry partnerships to move the aforementioned toward real world use and commercialization.
