Weeds Discrimination Using Near Infrared/Visible Spectral Analysis Technology

被引：0

作者：

Chen Shuren ^{[1
]}

Shen Baoguo ^{[1
]}

机构：

[1] Jiangsu Univ, Key Lab Modern Agr Equipment & Technol, Minist Educ & Jiangsu Prov, Zhenjiang 212013, Jiangsu, Peoples R China

来源：

PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON INFORMATIONIZATION, AUTOMATION AND ELECTRIFICATION IN AGRICULTURE | 2008年

关键词：

Spectrum analysis; Dicotyledon; Monocotyledon; Weeds discrimination;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The spectral reflectance of cotton, rice and weeds were determined in the range from 350 to 2500nm using the Analytical Spectral Device Full Range FieldSpec Pro (ASD) in laboratory. The discrimination analysis was done using the statistical software package SAS. The spectral reflectance at the green peak (555nm) was chosen as denominator, wavelength ratios were calculated as variables to discriminate. Wavelength ratios were selected using the STEPDISC procedure. With the selected variables, discriminant models were developed using the DISCRIM procedure in SAS. Five wavelength ratios selected, which are 395/555, 535/555, 705/555 and 1105/555, gained good classification performance (100% accuracy) for distinguishing barnyard-grass from rice. The ratio of spectral reflectance at 705nm in the red edge to spectral reflectance at 555nm contributes more to discrimination.

引用

页码：638 / +

页数：2

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