A novel deep-learning algorithm that would perform the path planning based on the row-wise crop environments. I would discuss some of eh important aspects of those research and the application methodologies for the same. I would move in a less-mathematical way and let the readers (at any level of studies) understand vividly the method implied in the same. Since no such dataset was present for the experimentation, the authors build their own [mentioned in [1, 2]]. They devised an algorithm for generating grids of shape H * W, with a random number of rows, denoted by N (the max value for the rows has been considered 50 and the min to be 20). In addition to the generated datasets, they have used some of the images taken from google satellite images, comprising of the row-based crop scenarios. Those images have been manually processed for the extraction of grids and waypoints.