Nitrogen content inversion of rice leaf based on the hyperspectral data

doi:10.3969/j.issn.1004-1524.2017.05.23

›› 2017, Vol. 29 ›› Issue (5): 845-849.DOI: 10.3969/j.issn.1004-1524.2017.05.23

• Biosystems Engineering • Previous Articles Next Articles

Nitrogen content inversion of rice leaf based on the hyperspectral data

ZHANG Guosheng, XU Tongyu^*, YU Fenghua, CHEN Chunling, WANG Yang

College of Engineering and Electricity, Shenyang Agriculture University, Shenyang 110886, China

Received:2017-01-12 Online:2017-05-20 Published:2017-06-06

Abstract

Abstract: Non-destructive, rapid and accurate monitoring of nitrogen nutrition of rice leaf at spikingstage is significant in estimating crop reproductive growth, enhancing nitrogen management and use efficiency. In this study, the field experiments were carried out and the hyperspectral data of rice canopy was acquired at the same time by the unmanned aerial vehicle. The relationship between nitrogen content and hyperspectral data was analyzed. The result showed that the leaf nitrogen content at tillering stage had good correlation with the normalized differential vegetation index. The regression model can be established.

Key words: nitrogen content of crop, hyperspectrl, regression model, NDVI value

CLC Number:

S126

ZHANG Guosheng, XU Tongyu, YU Fenghua, CHEN Chunling, WANG Yang. Nitrogen content inversion of rice leaf based on the hyperspectral data[J]. , 2017, 29(5): 845-849.

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Nitrogen content inversion of rice leaf based on the hyperspectral data

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