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Development of the Basis for an Automated Plant-based Environmental Control System
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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.
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Sauser, B., Giacomelli, G., and Ling, P., "Development of the Basis for an Automated Plant-based Environmental Control System," SAE Technical Paper 981551, 1998, https://doi.org/10.4271/981551.Also In
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