Chlorophyll content and distribution in leaf can reflect the plant health and nutrient status of the plant indirectly. It is
meaningful to monitor the 3D distribution of chlorophyll in plant science. It can be done by the method in this paper:
Firstly, the chlorophyll contents at different point in leaf are measured with the SPAD-502 chlorophyll meter, and the
RGN images composed by the channel R, G and NIR are captured with the imaging system. Secondly, the 3D model is
built from the RGN images and the RGN texture map containing all the information of R, G and NIR is generated.
Thirdly, the regression model between chlorophyll content and color characteristics is established. Finally, the 3D
distribution of chlorophyll in rice is captured by mapping the 2D distribution map of chlorophyll calculated by the
regression model to the 3D model. This methodology achieves the combination of phenotype and physiology, it can
calculated the 3D distribution of chlorophyll in rice well. The color characteristic g is good indicator of chlorophyll
content which can be used to measure the 3D distribution of chlorophyll quickly. Moreover, the methodology can be
used to high throughout analyze the rice.