Brazilian Agriculture in the age of Data Science

The digitization and integration of processes in Brazilian agriculture are revolutionizing decisionmaking. Data Science combined with Geotechnology enables the collection, storage and sharing of geospatial data combined with external sources, such as sensors in UAVs, satellites and weather stations, generating information to optimize the production process from planning, through planting, harvesting and marketing. Geospatial technologies are present not only in the scale of rural property but also in the implementation and monitoring of public policies aimed at the development of the Brazilian rural environment, in line with the conservation of natural systems, through the aggregation, storage and analysis of large databases. However, implementing theoretical advances in a complex environment such as agriculture requires real-world data representativeness. In this scope, the proposed session brings lectures on the application of artificial intelligence algorithms in the treatment of heterogeneous, multiscale and multitime data, as well as integrated spatial data platforms that subsidize public policies, such as Strategic Territorial Intelligence Systems, and the Monitoring and Issuance System of Local Territorial Management Alerts in the Amazon