Abstract
Leaf color is a good indicator of plant’s health status. In this study, a new image
acquisition technique was developed to estimate chlorophyll content of lettuce leaves. The
images of lettuce leaves grown under artificial light were acquired using a smartphone.
Leaves images was captured by directly attached the leaves to the camera lens with the aid
of background illumination from SMD LED. Red, green, blue (RGB) color indices were
extracted from leaves color images and some vegetation indices were also calculated.
Then, the correlation between these indices and chlorophyll content obtained from SPAD502 chlorophyll meter were evaluated. Significant correlation was found between all the
image indices and chlorophyll content with the R2 ranging from 0.63 to 0.85 except for G
and B indices from RGB component. Highly significant correlation was found between
vegetation indices (VI) and chlorophyll content (R2
= 0.85) with the lowest root mean
square error (RMSE) of 8.07 g of chlorophyll/100 g fresh tissue. This demonstrated that
the chlorophyll content of lettuce leaves can be successfully estimated using regular
smartphone with added background light illumination from SMD LED.
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4 articles.
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