Water Stress Analysis of Strawberry Based on Color Space Model

In order to investigate the effect of water stress on strawberry seedlings, a chlorophyll fluorescence acquisition system was built based on chlorophyll fluorescence imaging technology. By conducting grouped water stress incubation experiments on strawberry seedlings, the water content and chlorophyll content (SPAD) of leaves were measured at the same moment for 14 consecutive days, and the RGB, HSV and HSI color space models of true color images were converted using MATLAB software based on the collected chlorophyll fluorescence images. The experimental results showed that the leaf water content of the experimental group decreased with the increase of chlorophyll content and the correlation coefficient of the correlation model is
$\mathrm{R}^{2}=0.96$
; When channel components in color space were used to characterize the water stress condition of strawberry seedlings, the correlation between the water content of the leaves of experimental group B and the channel component I was the highest, with a modeled correlation coefficient of
$\mathrm{R}^{2}=0.88$
; the correlation between the chlorophyll content (SPAD) of the leaves of experimental group B and the channel component I was the highest, with a modeled correlation coefficient of
$\mathrm{R}^{2}=0.89$
. The average relative error between the validation and prediction groups did not exceed 10
^%
when the water content and chlorophyll content of seedling leaves under water stress were predicted using I-channel components. In summary, the I-channel of HSI color space model can be used to characterize the water content and chlorophyll content (SPAD) of strawberry seedling leaves under water stress, thus effectively conducting the assessment of plant stress status and providing some reference value for agricultural development.