Determining nutrient stress in lettuce plants with machine vision technology

Gene A Giacomelli, P. P. Ling, Jaco Kole

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

The rate of change of top projected leaf area (TPLA) of lettuce (Lactuca sativa L.) seedlings was determined with machine vision technology. Differences of TPLA between control and treatment plants were detectable with this technique within 48 hours from the onset of an imposed nutrient stress. The nutrient stress treatments were 0%, 50%, 150% of the control (100%). There were no differences for the 50% and 150% treatments compared to the control plants, even after a 6-day observation period. However, the 0% treatment caused different TPLA expansion within 48 hours and required a recovery period of 3 or 4 days after being returned to normal EC levels before again attaining prestressed growth rates.

Original languageEnglish (US)
Pages (from-to)361-365
Number of pages5
JournalHortTechnology
Volume8
Issue number3
StatePublished - 1998
Externally publishedYes

Fingerprint

Lettuce
computer vision
lettuce
leaf area
Technology
Food
nutrient
nutrients
Seedlings
Observation
Lactuca sativa
Growth
seedling
seedlings
methodology

Keywords

  • Computer vision
  • Crop production
  • Greenhouse
  • Real-time control

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)
  • Horticulture
  • Environmental Science(all)

Cite this

Determining nutrient stress in lettuce plants with machine vision technology. / Giacomelli, Gene A; Ling, P. P.; Kole, Jaco.

In: HortTechnology, Vol. 8, No. 3, 1998, p. 361-365.

Research output: Contribution to journalArticle

Giacomelli, Gene A ; Ling, P. P. ; Kole, Jaco. / Determining nutrient stress in lettuce plants with machine vision technology. In: HortTechnology. 1998 ; Vol. 8, No. 3. pp. 361-365.
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