Measurement of plant leaf area as a result of drone acquisition with arUco markers as a reference

^1,2,3 Information System, School of Postgraduate Studies, Diponegoro University, Semarang, 50275 Indonesia
² Department of Informatics Enginering, Muhammadiyah University of Ponorogo, Indonesia

^* Corresponding author: fauzan@umpo.ac.id

Abstract

Drones or called Unmanned Aerial Vehicle is an unmanned aircraft technology that is controlled using a remote. Drones are able to enter various sectors including the agricultural, transportation, military and maritime sectors. In the agricultural sector, the use of drones is used to capture agricultural land as a dataset in determining object detection models in determining plant diseases. Drones fly over agricultural land to acquire various plant leaves with a variety of acquisition distances. The acquisition process is carried out at a measured time due to various considerations such as weather conditions, wind, light intensity and acquisition distance between the camera and the object. In this study, image acquisition of plant leaves produced 500 images of plant leaves. The image from the drone camera calculated the leaf area with reference to the arUco markers as a reference point with a size of 5 x 5 id 5. The research results obtained contained a margin of error of 0.5 cm to 1 cm from the actual leaf area. The end result of this study is that the use of ArUco Marker can be used to calculate the area of an object only by utilizing the image acquired by a camera.