16 September 2005 Investigation of crop nitrogen content based on image processing technologies
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Abstract
A special image sampler was developed to non-destructively take leaf images of cucumber plants in greenhouse, which were grown in different nutrient conditions in order to obtain nitrogen stress to the crop. Then the correlation between nitrogen content of cucumber leaf and image property of the leaf was analyzed. The sampler is composed of eight lamps, a half sphere shell, a platform, and a window used for fixing camera. The lamps were arranged around the platform on what leafs would be placed for image-taking. The half sphere shell was over the platform to reflect the light of lamps. Since the reflected light from the shell was diffuse and symmetrical, the reflection noise of the leaf could be reduced and the high quality image could be obtained. The correlation analysis between leaf images and nitrogen contents of leaves was conducted based on RGB mode and HSI mode. In RGB mode the G weight of the image showed the highest linear correlation with the nitrogen content of the cucumber leaf than R weight and B weight, while in HSI mode the hue showed the same high linear correlation as the G weight. A new index from the G weight of RGB mode and the hue of HSI mode was suggested to estimate nitrogen content of cucumber leaf. The result shows the new index is practical.
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Yane Zhang, Yane Zhang, Minzan Li, Minzan Li, Zenghui Xu, Zenghui Xu, Xijie Zhang, Xijie Zhang, Maohua Wang, Maohua Wang, } "Investigation of crop nitrogen content based on image processing technologies", Proc. SPIE 5909, Applications of Digital Image Processing XXVIII, 59091Q (16 September 2005); doi: 10.1117/12.614682; https://doi.org/10.1117/12.614682
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