Research on discrimination of cabbage and weeds based on visible and near-infrared spectrum analysis

Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis

Volumn 33, Issue 5, 2013, Pages 1202-1205

  Zu, Qin ^a,b,c   Zhao, Chun Jiang ^a,c   Deng, Wei ^a,c   Wang, Xiu ^a,c  

^a BEIJING RESEARCH CENTER FOR INFORMATION TECHNOLOGY IN AGRICULTURE   (China)

^b GUIZHOU UNIVERSITY   (China)

^c BEIJING RESEARCH CENTER OF INTELLIGENT EQUIPMENT FOR AGRICULTURE   (China)

Author keywords

Multiple scattering correction; Principal component analysis; Visible and near infrared; Weeds discrimination

Indexed keywords

AUTOMATIC IDENTIFICATION; CANOPY SPECTRAL REFLECTANCE; CLASSIFICATION RESULTS; OPERATION EFFICIENCIES; SCATTERING CORRECTIONS; SOFT INDEPENDENT MODELING OF CLASS ANALOGIES; VISIBLE AND NEAR INFRARED; WEEDS DISCRIMINATION;

AUTOMATION; PRINCIPAL COMPONENT ANALYSIS; SPECTRUM ANALYSIS;

MULTIPLE SCATTERING;

ARTICLE; BRASSICA; CHEMISTRY; CLASSIFICATION; DISCRIMINANT ANALYSIS; LIGHT; METHODOLOGY; NEAR INFRARED SPECTROSCOPY; SPECTROSCOPY; WEED;

BRASSICA; DISCRIMINANT ANALYSIS; LIGHT; PLANT WEEDS; SPECTROSCOPY, NEAR-INFRARED; SPECTRUM ANALYSIS;

EID: 84877669790     PISSN: 10000593     EISSN: None     Source Type: Journal    
DOI: 10.3964/j.issn.1000-0593(2013)05-1202-04     Document Type: Article

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