SmartAgriHubs FIE20 - Groundwater and Meteo Sensors and Earth Observation for Precision Agriculture

The solution developed under the SmartAgriHubs project in the scope of the Flagship Innovation Experiment (FIE20) Groundwater and meteo sensors is an expert system to support farmers in decision-making process and planning process of field interventions. This FIE20 solution integrates various data sources and different analytical processes in a complete system and provides users an easy-to-use web map application as a common user interface. The FIE20 solution utilizes components of the SmartAgriHubs Digital Innovation Hub. The FIE20 solution integrates different types of data – local sensor data and online analysis based on this data, Earth Observation and remote sensing data, farm and regional thematic spatial data, weather model and forecast data – to be visualized in web application and used in set of implemented analytical functions. Available analytical functions provide decision-support results oriented on fields status and conditions, support based on long-term data from EO observations, weather models and measurements. The web map application provides weather forecasts for the locality of the farm and different analyses based on the weather forecast and the forecast model data. Various analytical functions based on spatial and EO data are available in the web map application, these analyses provide information oriented on fields and crops on fields in different stages. Data layers providing – yield productivity zones delimitation from the long time-period data, fertilizers variable application maps and NDVI index daily average trend from short time-period data represent products of EO data and analytical functions. The main agricultural challenges that the FIE20 solution is addressing can be divided in three parts. Firstly, the challenge is to integrate various and heterogeneous data from different sources to one system and to present this integrated data in a usable and understandable form to farmers. Secondly, utilization of integrated data in combination with external services in a set of analytical functions to provide farmers enough information as a support of decisions. And finally, the way how to visualize and present results of analyses to extract information and added values by the most of users of the solution. The solution utilizes a combination of cartographic visualizations, interactive charts, and diagrams.