Abstract:
This paper presents a fast low-cost image
processing method for the prediction of chlorophyll content in
BARI gom, a winter wheat variety in Bangladesh. SPAD-502
was used as chlorophyll meter in this work and pictures of
wheat leaf were taken by Smart Phone Camera with small
adjustments. It is found that in the late vegetative stage, the
“(a*-b*)” index from L*a*b* color model has the most
significant correlation with SPAD-502 chlorophyll data
compared to other indexes from L*a*b* and HSV color model.
Moreover, an equation is developed to calculate the chlorophyll
content from “(a*-b*)” color index using linear regression
method. Thereafter, the equation is tested against 36 samples in
a random manner and an average accuracy of almost 90% is
found over the range from 30 to 50.
