Near infrared hyperspectral images and pattern recognition techniques used to identifyetiological agents of cotton anthracnose and ramulosis
作者: Priscila AiresFrancisco Gambarra-NetoWirton CoutinhoAlderi AraujoGilvan da SilvaJosivanda GouveiaEveraldo Medeiros
作者单位: 1Federal University of Campina Grande, Post-graduate Program in Agricultural Engineering,CEP 58.429-140, Campina Grande-PB, Brazil
2Federal University of Paraiba, Graduate Program in Agronomy, CEP 58.397-000, Areia, PB,Brazil
3Embrapa Algodão, CEP 58428-095, Campina Grande, PB, Brazil
4Embrapa Amazônia Ocidental, CEP 69010-970, Manaus, AM,Brazil
5Embrapa Algodão, CEP 58428-095, Campina Grande, PB, Brazil.everaldo.medeiros@embrapa.br
刊名: Journal of Spectral Imaging, 2018, Vol.7 , pp.1-17
来源数据库: IM Publications
DOI: 10.1255/jsi.2018.a8
关键词: Fungal identificationFungal taxonomyNon-destructive analysisCotton cropHyperspectral image
英文摘要: Hyperspectral imaging near infrared (HSI-NIR) has the potential to be used as a non-destructiveapproach for the analysis of new microbiological matrices of agriculture interest. This article describes a newmethod for accurately and rapidly classifying the etiological agents Colletotrichum gossypii (CG)and C. gossypii var. cephalosporioides (CGC) grown in a culture medium, usingscattering reflectance HSI-NIR and multivariate pattern recognition analysis. Five strains of CG and 46 strains ofCGC were used. CG and CGC strains were grown on Czapek-agar medium at 25 °C under a 12-hourphotoperiod for 15 days. Molecular identification was performed as a reference for the CG and CGC classes bypolymerase chain reaction of the intergenic spacer region of rDNA. The scattering coefficient µ s and the...
原始语种摘要: Hyperspectral imaging near infrared (HSI-NIR) has the potential to be used as a non-destructiveapproach for the analysis of new microbiological matrices of agriculture interest. This article describes a newmethod for accurately and rapidly classifying the etiological agents Colletotrichum gossypii (CG)and C. gossypii var. cephalosporioides (CGC) grown in a culture medium, usingscattering reflectance HSI-NIR and multivariate pattern recognition analysis. Five strains of CG and 46 strains ofCGC were used. CG and CGC strains were grown on Czapek-agar medium at 25 °C under a 12-hourphotoperiod for 15 days. Molecular identification was performed as a reference for the CG and CGC classes bypolymerase chain reaction of the intergenic spacer region of rDNA. The scattering coefficient µ s and the...
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关键词翻译
关键词翻译
  • recognition 识别
  • pattern 模型
  • infrared 红外线
  • discriminant 判别式
  • destructive 破坏性
  • simplicity 简单
  • model 模型
  • image 
  • grown 生长
  • spacer 垫片