Abstract: A system and method for soil sampling utilizing a robotic system that determines sampling points through artificial intelligence algorithms. The robotic system comprises a platform with sampling modules that communicates with a server hosting a localization module. The localization module processes satellite imagery from multiple spectral channels and high-resolution drone images for a given parcel, generates sampling zones, and determines coordinates of optimal representative points for efficient land sampling. Intelligent sampling proceeds through several steps: sampling limits are defined and a mask is applied to the plot, a pixel matrix of vegetation indices is formed and normalized, and a K-means algorithm is applied across multiple spatial resolutions. The algorithm calculates the probability that each pixel belongs to one of the K zones, accounting for surrounding pixels across varying spatial resolutions.

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.