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Abstract
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Article Information:
The Diagnosis of Components Information Distribution of Wheat Seedlings Based on the Hyperspectral Imaging
Qiong Wu, Dazhou Zhu, Cheng Wang, Zhihong Ma and Jihua Wang
Corresponding Author: Zhixiang Hou
Submitted: June 13, 2012
Accepted: July 04, 2012
Published: August 20, 2012 |
Abstract:
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It is adopted mostly of the non-imaging spectrometer in current crop seedling monitoring, this method is
greatly interfered by the soil background, makes it difficult to analyze the partial area nutritional status of the
seedlings. In this study, we took advantage of merging the image with spectrum of the imaging spectrometer, to
analyze the canopy, individuals, different size of leaves, characteristics of different regions of the wheat seedlings
under the condition of salt stress, to diagnose the distribution of its chlorophyll composition information. We
collected the imaging spectrum of 126 wheat samples in the wavelength range of 400 ~1000 nm, selected the
average spectrum, exerted Correlation Analysis on the spectrum of wheat seedlings with the SPAD value, It could
be seen that the biggest absolute value of the correlation coefficient was at 693 nm, which was considered as the
characteristics wavelength of wheat seedlings. To establish the linear regression model using this wavelength and
substituted 1the reflectance data of each point into the model, then we got the SPAD value of each point, to form the
relative content distribution map of chlorophyll, whereby to diagnose the distribution of seedlings component. The
results showed that: Hyper spectral imaging could reflect the reflectance differences of wheat seedlings under
different salt stress treatments, through extracting the spectral reflectance curve leaves of single wheat seedlings in
different parts of the different leaves and single leaf base, the midst of leaves and tip in the plant, from the results of
filling map we could intuitively see the leaves’ chlorophyll distribution in different parts. It indicated that hyper
spectral imaging can characterize the seedlings situation of different plants, also could characterize the
characteristics of different district of leaves. The results indicated that hyper spectral imaging were suitable for the
non-invasive detection of chlorophyll content of wheat seeding and it has potential for precise diagnosing of the
growing status of wheat seeding.
Key words: Chlorophyll content, hyper spectral imaging, wheat seeding, , , ,
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Cite this Reference:
Qiong Wu, Dazhou Zhu, Cheng Wang, Zhihong Ma and Jihua Wang, . The Diagnosis of Components Information Distribution of Wheat Seedlings Based on the Hyperspectral Imaging. Advance Journal of Food Science and Technology, (4): 213-219.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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