|Authors: ||A.-M. Carstensen, T. Wik, D. Bånkestad, T. Pocock|
|Keywords: ||chlorophyll fluorescence, photosynthesis dynamics, fluorescence transient, remote sensing, stress detection, light acclimation, supplementary light, greenhouse illumination, automatic control, black-box model, system identification|
Optimizing artificial lighting control in industrial scale greenhouses has a potential for increased crop yields, energy savings and production timing.
One possible component in controlling greenhouse lighting is continuous and accurate measurement of plant photosynthetic performance.
A widely used tool for measuring photosynthetic performance non-invasively is chlorophyll fluorescence.
For the purpose of automatic control, remote sensing of fluorescence is favourable, since it provides an aggregated measure for a large canopy area.
However, adaptation of traditional fluorescence methodologies to remote sensing is problematic since they are based on the analysis of fluorescence intensities and therefore sensitive to distance and morphology.
Other problems with using traditional methods remotely in a greenhouse are a need for dark adaption and use of saturating light.
This paper presents a novel concept for the detection of photosynthetic performance based on the dynamics of remotely sensed light induced fluorescence signals.
The dynamics of the fluorescence signal is insensitive to distance and morphology and hence provide a good basis for remote detection of photosynthetic performance.
Through experiments we have explored how the dynamics of the time-varying fluorescence signal from basil plants was affected by light intensity, light acclimation and light induced stress.
This was done by first identifying a dynamic model by transient analysis and then applying frequency analysis on the model.
We conclude that the capacity of basil plants to use a certain light intensity was reflected by how fast and how complex the dynamics are.
These results show that an identified resonance peak frequency is a potential indicator of plants' ability to adapt to light, which could be a valuable feedback signal for lighting control in greenhouses.
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