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University of Illinois at Urbana-Champaign

Sensing and Control for Real-Time Machine Vision-Based Selective Herbicide Application Under Outdoor Field Conditions

Abstract

dc:description

"A controller was developed based on the concept of system events being controlled based on the distance traveled by sprayer vehicle a way of directing the herbicide onto the weeds when they are sensed by the sensing system. A design methodology for this ""real-distance"" control was developed and the system was tested under controlled outdoor field conditions. It exhibited a 91 percent hit accuracy with no evidence of significant difference across travel velocity levels."

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Agricultural Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Steward, Brian Lynn
Contributors dc:contributor
  • Lei Tian

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI9953148
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/86098

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

Steward, Brian Lynn. Sensing and Control for Real-Time Machine Vision-Based Selective Herbicide Application Under Outdoor Field Conditions. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/86098