DocumentCode :
1902575
Title :
Assessment of Chlorophyll Content Based on Image Color Analysis, Comparison with SPAD-502
Author :
Hu, Hao ; Liu, He-qin ; Zhang, Hao ; Zhu, Jing-huan ; Yao, Xu-guo ; Zhang, Xiao-bin ; Zheng, Ke-feng
Author_Institution :
Inst. of Digital Agric., Zhejiang Acad. of Agric. Sci., Hangzhou, China
fYear :
2010
fDate :
25-26 Dec. 2010
Firstpage :
1
Lastpage :
3
Abstract :
Leaf color has been commonly used as an index for crop stress status diagnosis. We have developed a low-cost and non-destructive method that is easy to use to assess the health status of plants, based on the estimation of chlorophyll content of leaves using a portable digital camera. Relationships between chlorophyll content and leaf image color indices in the RGB and Lab* space with the comparison of SPAD are examined. The RGB color indices of R, G and R+G+B, R-B, R+B, R+G and The Lab* space parameters L*, a* and b* had the significant relationship with chlorophyll content. Although the determination coefficient and prediction confidence intervals of color indices regression were not good than SPAD, the leave imaged tools had the profit of easy operation, found everywhere and no much money cost. The indices from leaf color image analysis maybe used to estimate chlorophyll content.
Keywords :
crops; image colour analysis; RGB color indices; SPAD; SPAD-502; chlorophyll content assessment; crop stress status diagnosis; image color analysis; leaf color; portable digital camera; Agriculture; Correlation; Digital cameras; Image color analysis; Indexes; Pigments; Software;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
ISSN :
2156-7379
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
Type :
conf
DOI :
10.1109/ICIECS.2010.5678413
Filename :
5678413
Link To Document :
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