Agriculture and Agri-Food Canada

OneSoil employs a proprietary machine learning (ML) model based on state-of-the-art instance segmentation to detect field boundaries. Utilizing raw Sentinel-2 data aggregated according to local vegetation season maps and an additional upscaling module to enhance boundary accuracy, we ensure...

“The “Biomass Report Framework” dataset is a fishnet polygon fabric used as a common spatial reporting framework for BIMAT that covers the extent of Canada.

“Biomass Inventory Mapping and Analysis – Business Data” provides a number of datasets related to the yield and production of residues from the agricultural and forestry industry, agricultural crops, and municipal solid wastes across Canada. The datasets contain agricultural residue production...

This dataset series highlights the locations of research centres where scientists, technicians and staff work to create better opportunities for farmers and all Canadians through agricultural research and innovation.

This dataset highlights the network of Research and Development farms associated with Agriculture and Agri-Food Canada that conduct research and collaborate with partners and stakeholders.