Scientia Agricultura Sinica ›› 2011, Vol. 44 ›› Issue (16): 3323-3332.doi: 10.3864/j.issn.0578-1752.2011.16.004

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY·AGRICULTURE INFORMATION TECHNOLOGY • Previous Articles     Next Articles

Multi-Spectral Images Estimation Models for Nitrogen Contents of Rape

ZHANG  Xiao-Dong, MAO  Han-Ping, ZUO  Zhi-Yu, SUN  Jun, ZHANG  Hong-Tao   

  1. 江苏大学农业工程研究院/现代农业装备与技术省部共建教育部重点实验室
  • Received:2010-12-01 Revised:2011-02-28 Online:2011-08-15 Published:2011-03-09
  • Contact: Xiao-Dong ZHANG E-mail:zxd700227@126.com

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Abstract: 【Objective】Multi-spectral image analysis method was used to quantitatively analyze the rape total nitrogen content.【Method】The images of rape canopy were taken by the multi-spectral camera and were preprocessed by the median-filtering method. Two-dimensional maximum entropy segment method was used to complete background segmentation of multi-spectral images. 【Result】 By extracting mean and ratio of multi-spectral images of rape canopy , it was found that the features of ARV1, AVS560, ADV1, AVS660 and g are highly correlated with nitrogen content in the whole growth period. Considering the serious multicollinearity between multi-spectral variable, the prediction model of nitrogen content of rape at different growth stages was built by stepwise regression method. 【Conclusion】The reflection intensity distribution information of the visible light and the near infrared light is sufficiently utilized in this research to diagnose the nitrogen content of rape. The multi-spectral image features of the nitrogen content of rape at different growth stages were preliminarily verified. The result shows that the method of multi-spectral image analysis can be used to quantitatively analyze the rape total nitrogen content. This provides a theoretical basis and technical support for the scientific management of rape nutrition.

Key words: Rape, Nitrogen, Multi-spectral image, Stepwise regression

CLC Number: 

  • S121

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