Use of Light Detection and Ranging (LiDAR) to detect and map weeds that grow taller than crops at harvest

Nooshin Shahbazi

Research output: ThesisDoctoral Thesis

260 Downloads (Pure)

Abstract

Weeds cause significant economic loss to agriculture globally. Some weeds evade harvest weed seed control by shedding their seeds before harvest. However, many of these weed species grow taller than crops. This research evaluated the performance of Light Detection and Ranging (LiDAR) for detecting and mapping weeds that grow above crops at harvest. The LiDAR detected 97% of the weeds present, demonstrating that it is a promising tool for mapping tall weeds in crops. The system could be used to locate weed patches, evaluate the success of previous weed management and plan future weed management strategies, based on site specific crop management.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
Supervisors/Advisors
  • Flower, Ken, Supervisor
  • Ashworth, Michael, Supervisor
  • Beckie, Hugh, Supervisor
  • Callow, Nik, Supervisor
  • Mian, Ajmal, Supervisor
Thesis sponsors
Award date11 Mar 2022
DOIs
Publication statusUnpublished - 2022

Fingerprint

Dive into the research topics of 'Use of Light Detection and Ranging (LiDAR) to detect and map weeds that grow taller than crops at harvest'. Together they form a unique fingerprint.

Cite this