Abstract: A system and method for intelligent soil sampling has for a novelty robotic system 100 that samples soil based on the generation of sampling points through advanced artificial intelligence algorithms. The robotic system 100 comprises a robotic platform 101 with sampling modules 103, 105 and 108, which communicates with a server 111, that consists a localization module 113 containing artificial intelligence algorithms based on satellite images from multiple spectral channels and/or images from high-resolution drone for a given parcel 301, generates zones and determines the coordinates of points as the best representatives of the zones to take place efficiently and quickly sampling the land.

Abstract: The present invention relates to soil moisture and soil matric potential measurement using microwave sensor composed of sensor element (1), porous matrix (2), phase shift measurement circuit (3) and circuit protective layer (4). Operating principle is based on the phase shift method in which phase shift of the signal propagating along sensor element (1) is related to the porous matrix (2) moisture content. Porous matrix (2) is in contact with surrounding soil (5) and reflects its water content. Phase shift measurement circuit (3) excite sensor element (1) and measures phase shift. The sensor is independent of soil electrical conductivity owing to the operating frequency in microwave range (˜GHz). In this manner, it is less sensitive to the soil type and therefore less demanding for calibration. The sensor is made of durable elements without consumable parts which enable a long-term operation. Its low power consumption makes it suitable for Internet of Things concept and automatic irrigation systems.

Abstract: The present invention relates to soil moisture and soil matric potential measurement using microwave sensor composed of sensor element (1), porous matrix (2), phase shift measurement circuit (3) and circuit protective layer (4). Operating principle is based on the phase shift method in which phase shift of the signal propagating along sensor element (1) is related to the porous matrix (2) moisture content. Porous matrix (2) is in contact with surrounding soil (5) and reflects its water content. Phase shift measurement circuit (3) excite sensor element (1) and measures phase shift. The sensor is independent of soil electrical conductivity owing to the operating frequency in microwave range (˜GHz). In this manner, it is less sensitive to the soil type and therefore less demanding for calibration. The sensor is made of durable elements without consumable parts which enable a long-term operation. Its low power consumption makes it suitable for Internet of Things concept and automatic irrigation systems.