Simulation of plant growth spectrum with high-fitness based on spectral segmentation fitting

Abstract

Light emitting diodes (LEDs) are considered next-generation light sources. Because of their narrow spectral distribution, fast response and convenient adjustment, LEDs are widely used in spectrally adjustable light sources. In order to determine the best combination of LEDs to obtain a high-fitness plant growth spectrum, in this paper we use Gaussian function model to construct the spectral distribution of monochromatic LEDs, choose the absorption spectrum of chlorophyll b as the target spectrum. Divide the spectrum into gentle wavebands and steep wavebands and use the combination of equal-interval and unequal-interval peak wavelength LEDs to fit the target spectrum, then compared eight experiments and determined the best number of LEDs used in different wavebands of the target spectrum. Finally, this paper use the LEDs of Epitex series to fit target spectrum, experimental results show that correlation coefficient R2 can reach 0.9673 and 0.9675.