Precision Agriculture makes towards achieving SDG2, especially considering the SDG2 focus on “small-scale" food producers. It is based on different types data collected in field by soil and weather sensors, proximal and remote sensing (e.g. UAV), producing large datasets which can help in the achievement of better farm management (sustainable agriculture). However, many times that farmers fail to act on information provided or never adopt technologies or practices with production benefits.
In this context, DSS (Decision Support Systems) can help the farmers to manage their field information and make the right choice in nutrients, irrigation and plant disease management through the integration of approaches that combine physical, chemical, biological and space–time techniques through the use of various types of knowledge, including stakeholder expertise and knowledge derived from scientific measurements and model simulations. Moreover, they are able to enabling both simple, rapid and cheap procedures and complex, cumbersome and expensive data-intensive procedures, according to the types of study and the spatial and temporal scale on which a solution is sought.
The session should be of interest to different scientific communities (e.g. soil science, remote sensing, plant science, etc…) and stakeholders (farmer, consortiums, decision maker, etc…).