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University of Illinois at Urbana-Champaign

Real-Time Nitrogen Detection System of Corn Crop Using a Multi -Spectral Imaging Sensor

Abstract

dc:description

Real-time N-deficiency was estimated by using NDVI and mapped relative to unstressed healthy plants. The MSIS system provided a measure of crop response that correlated with plant SPAD measurements (-0.93 for G channel and -0.88 for R channel). The system had smaller measurement variation than the SPAD meter with a standard deviation of 0.13 in MSIS measurements whereas 0.26 in SPAD measurements. The MSIS-based supplemental N treatment improved the crop N status and increased the yield in one case, while in other case no yield improvement was observed with MSIS-based fertilization.

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
  • Kim, Yunseop
Contributors dc:contributor
  • Reid, John F.

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3044142
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/86046

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

Kim, Yunseop. Real-Time Nitrogen Detection System of Corn Crop Using a Multi -Spectral Imaging Sensor. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/86046