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

Author:

Masykur Fauzan,Adi Kusworo,Dwi Nurhayati Oky

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.

Publisher

EDP Sciences

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3