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University of Illinois at Urbana-Champaign

Development of UAV-based lidar crop height mapping system

Abstract

dc:description

Crop height monitoring is important to appropriate field management. Previous studies have indicated that a Light Detection and Ranging (LiDAR) sensor was capable of accurate and fast data collection. As technology of Unmanned Aerial Vehicles (UAV) advanced, the airborne LiDAR system became a promising remote sensing based method for non-destructive crop height measurement. The objective of this study was to develop a UAV-based LiDAR system for crop height measurement. The system consisted of a 360-degree 2D laser scanner and an onboard computer mounted on an open source UAV platform. A data processing and visualization algorithm was developed to process dense spatial point cloud data and generate a crop height map of the target field. Outdoor experiments were conducted in a real corn field to evaluate the height measurement performance of the UAV-based LiDAR system. The results show that the average R2 value of 0.87, average mean error (absolute error) of 4.47% and average RMSE of 0.143 m, were achieved in comparison with manual measurements. The UAV-based LiDAR system could cover a 2 acre corn field within eight and half minutes, saving about 90% operation time compared with a tractor-based LiDAR system. The UAV-based LiDAR system developed in this study demonstrated its accurate and efficient crop height measurement in a real crop field, and is expected to be applied in practical agricultural production.

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Agricultural & Biological Engr
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zhu, Huangjian
Contributors dc:contributor
  • Tian, Lei

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • Copyright 2017 Huangjian Zhu
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/99224
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/99224

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Zhu, Huangjian. Development of UAV-based lidar crop height mapping system. Thesis thesis, University of Illinois at Urbana-Champaign, 2018. http://hdl.handle.net/2142/99224