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University of Illinois at Urbana-Champaign

Using artificial intelligence to predict NDVI/NDRE from standard RGB aerial imagery

Abstract

dc:description

The student, Corey Davidson, submitted this Thesis for approval on 2021-07-05 at 17:13.

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
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Davidson, Corey Landon
Contributors dc:contributor
  • Chowdhary, Girish
  • Allen, Cody
  • Czarnecki, Joby

Subjects

dc:subject × 6

Rights

dc:rights
Statement dc:rights
  • Copyright 2021 Corey Davidson
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/113142
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/113142

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

Davidson, Corey Landon. Using artificial intelligence to predict NDVI/NDRE from standard RGB aerial imagery. Thesis thesis, University of Illinois at Urbana-Champaign, 2022. http://hdl.handle.net/2142/113142