Agriculture Data for All - Integrated Tools for Agriculture Data Integration, Analytics and Sharing

Agriculture produces an abundance of data in both public and private domains. Such data include, but are not limited to: national soil databases, long-term data on carbon balance across different climate zones and vegetative land covers, digital elevation models, regional and national inventories, remote sensing data, geophysical data, socio-economic and many other data sets. These agriculture-related records are interesting not only to the agriculture sector. Ecology, environment, business, policy, various sciences, etc. can use this data for their discoveries. They can investigate the impact of land-management approaches, such as fertilization, grazing, irrigation, and more. Agriculture data analysis can help understand the problems and lead policy makers to implementing risk mitigation and restoration strategies.