Optimized Path Planning for UGV Based on Sampling Maps

This study focuses on optimizing soil sampling for accurate crop management. To address soil heterogeneity, the field is divided into homogeneous zones using electrical conductivity (ECa). Equally distributed sampling points are created in each zone, forming a sampling map. A path for an autonomous robotic navigation system is then generated by minimizing the distance between sampling points. This method allows efficient data collection using sensors, enhancing the accuracy of sampling.