Development of the basis for an automated plant-based environmental control system

Brian J. Sauser, Gene A. Giacomelli, Peter P. Ling

Research output: Contribution to journalConference articlepeer-review

Abstract

The primary objective of the investigation was to evaluate the effects of induced perturbations in air temperature on the development of the tomato plant, while correlating a plant feature for use with machine vision non-contact sensing technologies, and allow for eventual integration into a non-invasive plant-based environmental control system. Real-time information of plant growth responses to steady-state and changing air temperature regimes were measured (i.e. dry weight). There was a positive correlation of the profile machine vision images with dry weight. Therefore, machine vision could be used for plant developmental predictions and development of a control system for maintaining plant schedules.

Original languageEnglish (US)
JournalSAE Technical Papers
DOIs
StatePublished - Jan 1 1998
Externally publishedYes
Event28th International Conference on Environmental Systems - Danvers, MA, United States
Duration: Jul 13 1998Jul 16 1998

ASJC Scopus subject areas

  • Automotive Engineering
  • Safety, Risk, Reliability and Quality
  • Pollution
  • Industrial and Manufacturing Engineering

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