An automated plant monitoring system using machine vision

Gene A Giacomelli, P. P. Ling, R. E. Morden

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

A plant growth chamber equipped with a machine vision (MV) system was developed for the continuous, non-contact sampling and near-real-time evaluation of the top projected leaf area (TPLA) of lettuce (Lactuca sativa, cv. Ostinata) seedlings. A rotary table enabled automatic, individual presentation of the lettuce plants to the imaging system. Hourly measurements were continuously made for 16 plants from the first true leaf stage through 30 days from seeding. A near-infrared radiation source illuminated the plants during the dark period, permitting measurements without interrupting the 12 hour photoperiod. Daily minimum hourly change of TPLA for the plants occurred from 3 to 4 hours after the start of the light period. Most rapid increase in TPLA occurred from 4 to 5 hours after the onset of the dark period. The machine vision system was capable of determining a plant physiological response to the nutrient stress within 24 hours of the change of the nutrient regime.

Original languageEnglish (US)
Pages (from-to)377-382
Number of pages6
JournalActa Horticulturae
Volume440
StatePublished - Dec 1 1996
Externally publishedYes

Fingerprint

computer vision
monitoring
leaf area
scotophase
lettuce
near infrared radiation
nutrients
Lactuca sativa
photophase
growth chambers
plant response
sowing
photoperiod
image analysis
plant growth
seedlings
leaves
sampling

Keywords

  • Automation
  • Controlled environment
  • Lactuca sativa
  • Machine vision
  • Non-contact monitoring
  • Nutritional stress
  • Plant development
  • Stress detection

ASJC Scopus subject areas

  • Horticulture

Cite this

An automated plant monitoring system using machine vision. / Giacomelli, Gene A; Ling, P. P.; Morden, R. E.

In: Acta Horticulturae, Vol. 440, 01.12.1996, p. 377-382.

Research output: Contribution to journalArticle

Giacomelli, Gene A ; Ling, P. P. ; Morden, R. E. / An automated plant monitoring system using machine vision. In: Acta Horticulturae. 1996 ; Vol. 440. pp. 377-382.
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