Share Email Print
cover

Proceedings Paper

Three dimensional (3D) distribution calculation of chlorophyll in rice based on infrared imaging technique
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

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.

Paper Details

Date Published: 20 November 2014
PDF: 9 pages
Proc. SPIE 9300, International Symposium on Optoelectronic Technology and Application 2014: Infrared Technology and Applications, 93002H (20 November 2014); doi: 10.1117/12.2073219
Show Author Affiliations
Zong-nan Li, Huazhong Agricultural Univ. (China)
Key Lab. of Arable Land Conservation (China)
Jing Xie, Huazhong Agricultural Univ. (China)
Jian Zhang, Huazhong Agricultural Univ. (China)
Key Lab. of Arable Land Conservation (China)


Published in SPIE Proceedings Vol. 9300:
International Symposium on Optoelectronic Technology and Application 2014: Infrared Technology and Applications
Mircea Guina; Haimei Gong; Zhichuan Niu; Jin Lu, Editor(s)

© SPIE. Terms of Use
Back to Top