Using chlorophyll a fluorescence gains to optimize LED light spectrum for short term photosynthesis
Journal article, 2017

When changing from the traditional high pressure sodium (HPS) lamps to light emitting diode (LED) lamps there is a quite unexplored energy saving potential in the fact that they are far better suited for control, since both spectrum and light intensity can be adjusted. This work aims at finding a way to automatically adjust the spectrum of a LED lamp, equipped with several different types of LEDs, to maximize plant growth by feedback of a remote online measure correlated with growth. A series of experiments were conducted on basil plants in order to examine whether remotely sensed steady-state chlorophyll fluorescence (F740) can be used for this purpose, and if its derivatives (fluorescence gains) w.r.t. applied powers change relative to each other for different light intensities and spectra A strong correlation between F740 and photosynthetic rate was indeed found. However, the order (w.r.t. LED type) of the fluorescence gains was only moderately affected by the light intensities and spectra investigated. The gain was highest w.r.t. red light (630 nm), though, when taking the electrical efficiencies of individual LED types into consideration, blue LEDs (450 nm) were equally, or even more efficient than the red ones An online controller to regulate optimal spectrum for basil appears to be unnecessary. However, the fluorescence gains could be used to adapt to changes in the efficiencies when crops and operating conditions change, or when the diodes degrade. The method also shows promise as a tool to find optimal light intensity levels as well as identifying plant stress.

Fluorescence gain

Chlorophyll fluorescence

Greenhouse illumination

Light emitting diode (LED)

Photosynthesis

Optimal light spectrum

Author

Linnéa Ahlman

Chalmers, Signals and Systems, Systems and control, Automatic Control

Daniel Bånkestad

Heliospectra

Torsten Wik

Chalmers, Signals and Systems, Systems and control, Automatic Control

Computers and Electronics in Agriculture

0168-1699 (ISSN)

Vol. 142 224-234

Driving Forces

Sustainable development

Subject Categories

Biological Sciences

Control Engineering

Areas of Advance

Energy

DOI

10.1016/j.compag.2017.07.023

More information

Latest update

9/6/2018 1