Plant health monitoring with machine vision

Peter P. Ling, Terence P. Russell, Gene A. Giacomelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Spectral and dynamic morphological features were investigated for plant health monitoring using machine vision techniques. The plants were stressed by withholding all nutrient salts. The spectral reflectance of healthy and stressed lettuce leaves (Latuca sativa cv. `Ostinata') was measured to determine at which wavelength(s) a stressed condition would be apparent. The measured wavebands were between 400 and 1000 nm. A reference waveband was utilized to account for photometric variables such as lighting and surface geometry differences during image acquisition. The expansion of the top projected leaf area (TPLA) was found to be an effective feature to identify stressed plants. The nutrient stressed plant was identifiable within two days after nutrients were withheld from a healthy plant. This was determined by a clearly measurable reduction in TPLA expansion.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsGeorge E. Meyer, James A. DeShazer
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages247-256
Number of pages10
ISBN (Print)0819416789
StatePublished - Jan 1 1995
Externally publishedYes
EventOptics in Agriculture, Forestry, and Biological Processing - Boston, MA, USA
Duration: Nov 2 1994Nov 4 1994

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2345
ISSN (Print)0277-786X

Other

OtherOptics in Agriculture, Forestry, and Biological Processing
CityBoston, MA, USA
Period11/2/9411/4/94

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Ling, P. P., Russell, T. P., & Giacomelli, G. A. (1995). Plant health monitoring with machine vision. In G. E. Meyer, & J. A. DeShazer (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (pp. 247-256). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 2345). Society of Photo-Optical Instrumentation Engineers.