Two advanced algorithms of generating path guidance line are proposed: the Hough transform-based is to pre-limit the angular value of possible collinear points before peak detection. This enables swift key-info abstraction in orderly-planted fields while offsetting imperfections brought by previous image segmentation, the solution to generate guidance line in forestry environments and locate points of trunk-and-earth intersection, then a dot array in the middle of the two point series is obtained. Then two methods are applied to process the dot array: either to detect a line for guidance using Hough transform or to least-square fit the two point series, so a line through the center is acquired to be the guidance path. Simulations and comparisons through Matlab show that the two algorithms are able to robustly recognize paths in their respective fit scenes and effectively process images in batches.