Satellite-enabled intelligent Internet of Things for agriculture

The SIITAg project aims at addressing agricultural productivity under the frame of an environmentally friendly concept by improving the efficiency of precise fertilization. In order to do so, SIITAg provides an intelligent system that can identify plant nutrient detection (PND) and generate a variable-rate fertilization application map for the optimal agricultural output. The system is cost-effective, scalable and globally available for farmers. The service mainly targets farmers as well as agricultural consultants and agribusinesses such as agrochemical companies. The service makes use of EO data of Sentinel-2 images and of GNSS information from Galileo mission for computational applications. Based on Sentinel-2 images, our system enables the generation of Field Boundaries, relative nutrient deficiency maps and field productivities. Combined, the above-mentioned components provide field zone management recommendations for farmers. GNSS is also used to generate the variable fertilization map, a machine-readable map for the fertilizer spreader tractor enabling the distribution of designated amounts of fertilizer at specific geolocated field management zones.