CROP ROW DETECTION AUTOMATICALLY USING LOW-COST UAV IMAGERY SYSTEM

Precision Agriculture (PA) systems have received a lot of attention in recent decades. Precision Agriculture is a combination of different technologies such as navigation and imaging systems to control and manage the process of planting to harvest and aims to increase the quality and quantity of production while reducing costs and There have been possible injuries. Using Image processing sciences, remote sensing, etc to detect complications in various applications is constantly expanding. The field of agriculture is no exception to this, and the automatic identification of plant planting lines is an essential part of the agricultural process and helps a lot in making decisions in this field. So far, various methods and algorithms for automatic extraction and identification of plant planting lines have been proposed. These algorithms typically use data such as RGB or orthophoto image, NIR image, and digital elevation model (DSM). This paper tried to identify crop lines in orthophoto images using digital image processing operators, Mathematics, and remote science. To this goal, the initial crop lines were identified from the Hough algorithm and the final lines were extracted using a series of rules. High execution speed, high accuracy, ability to detect direct lines in one direction are advantages of this method compared to other algorithms presented so far. Implementing this algorithm on different parts of an aerial orthophoto image showed 92% accuracy in identifying crop lines.

CROP ROW DETECTION AUTOMATICALLY USING LOW-COST UAV IMAGERY SYSTEM Keywords:

image processing , agriculture , plant planting lines , UAV.