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Proceedings Paper

Variable-rate nitrogen application algorithm based on canopy reflected spectrum and its influence on wheat
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Paper Abstract

This study was to develop the time-specific and time-critical method to overcome the limitations of traditional field sampling methods for variable rate fertilization. Farmers, agricultural managers and grain processing enterprises are interested in measuring and assessing soil and crop status in order to apply adequate fertilizer quantities to crop growth. This paper focused on studying the relationship between vegetation index (OSAVI) and nitrogen content to determine the amount of nitrogen fertilizer recommended for variable rate management in precision agriculture. The traditional even rate fertilizer management was chosen as the CK. The grain yield, ear numbers, 1000-grain weight and grain protein content were measured among the CK, uniform treatments and variable rate fertilizer treatments. It indicated that variable rate fertilization reduced the variability of wheat yield, ear numbers and dry biomass, but it didn't increased crop yield and grain protein content significantly and did not decrease the variety of 1000-grain weight, compared to traditional rate application. The nitrogen fertilizer use efficiency was improved, for this purpose, the variable rate technology based on vegetation index could be used to prevent under ground water pollution and environmental deterioration.

Paper Details

Date Published: 20 January 2005
PDF: 9 pages
Proc. SPIE 5655, Multispectral and Hyperspectral Remote Sensing Instruments and Applications II, (20 January 2005); doi: 10.1117/12.582987
Show Author Affiliations
Hongxia Liang, National Engineering Research Ctr. for Information Technology in Agriculture (China)
Anhui Agricultural Univ. (China)
Chunjiang Zhao, National Engineering Research Ctr. for Information Technology in Agriculture (China)
Wenjiang Huang, National Engineering Research Ctr. for Information Technology in Agriculture (China)
Liangyun Liu, National Engineering Research Ctr. for Information Technology in Agriculture (China)
Jihua Wang, National Engineering Research Ctr. for Information Technology in Agriculture (China)
Youhua Ma, Anhui Agricultural Univ. (China)


Published in SPIE Proceedings Vol. 5655:
Multispectral and Hyperspectral Remote Sensing Instruments and Applications II
Allen M. Larar; Makoto Suzuki; Qingxi Tong, Editor(s)

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