Abstract
The estimation of nitrogen status non-destructively in oilseed rape was performed using spectral reflectance with visible and near infrared reflectance spectroscopy, and SPAD values of the oilseed rape leaves of 30 plots were measured by a SPAD 502 chlorophyll meter, and the research was carried out at experiment field in Zhejiang University during growing season from 2007 to 2008. The SPAD 502 chlorophyll meter was applied to investigate the distribution rule of chlorophyll concentration in the oilseed rape. Regression model between the spectral reflectance and SPAD value was built by partial least squares (PLS). The correlation coefficient (r), root mean square error of prediction (RMSEP) and bias in prediction set were 0.9368, 3.4992 and 1.834e- 07. The correlation between the first derivative of spectral reflectance of oilseed rape leaves and SPAD value were analyzed, and the results showed that good correlation coefficient was obtained in the range from 510 to 640 nm and 685 to 720 nm, and the maximum value for correlation coefficient was at the wavelength 707 nm. The linearity equation between the red edge index and chlorophyll concentration was also analyzed, with the correlation coefficient of 0.986. It is concluded that Vis/NIRS combined SPAD 502 chlorophyll meter was a promising technique to monitor nitrogen status in oilseed rape.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Yang, Z.C., Sun, L., Zhang, Y.: The Present Status of World Oilseed Rape Industry and Development Policy in China. World Agriculture 3, 10–12 (2003)
Chapman, S.C., Barreto, H.J.: Using A Chlorophyll Meter to Estimate Specific Leaf Nitrogen of Tropical Maize During Vegetative Growth. Agronomy Journal 89, 557–562 (1997)
Wu, F.B., Wu, L.H., Xu, F.H.: Chlorophyll Meter to Predict Nitrogen Sidedress Requirements for Short-Season Cotton (Gossypium hirsutum L). Field Crops Research 56, 309–314 (1998)
Best, R.G., Harlan, J.C.: Spectral Estimation of Green Leaf Area Index of Oats. Remote Sensing of Environment 17, 27–36 (1985)
Aparicio, N., Villegas, D., Casadesus, J., Araus, J.L., Royo, C.: Spectral Vegetation Indices as Non-Destructive Tools for Determining Durum Wheat Yield. Agronomy Journal 92, 83–91 (2000)
Min, M., Lee, W.S., Kim, Y.H., Bucklin, R.A.: Nondestructive Detection of Nitrogen in Chinese Cabbage Leaves Using Vis-NIR Spectroscopy. Hortscience 41, 162–166 (2006)
Martens, H., Naes, T.: Multivariate Calibration. Wiley, Chichester (1989)
Cen, H.Y., Yong, H., Huang, M.: Measurement of Soluble Contents and pH in Orange Juice Using Chemometrics and Vis-NIRS. Journal of Agricultural and Food Chemistry 54, 7437–7443 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhu, D., Liu, F., Shao, Y., He, Y. (2011). Application of SPAD and Vis/NIR Spectroscopy to Estimation Nitrogen Status of Oilseed Rape Plant. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23324-1_55
Download citation
DOI: https://doi.org/10.1007/978-3-642-23324-1_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23323-4
Online ISBN: 978-3-642-23324-1
eBook Packages: Computer ScienceComputer Science (R0)