01304naa a2200253 a 450000100080000000500110000800800410001902400450006010000200010524501700012526000090029552004660030465300160077065300260078665300200081265300290083270000250086170000200088670000210090670000200092770000220094770000230096977300580099220908542018-05-02       2018    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.1255/jsi.2018.a82DOI1 aAIRES, P. S. R.  aNear infrared hyperspectral images and pattern recognition techniques used to identify etiological agents of cotton anthracnose and ramulosis.h[electronic resource]  c2018  aHyperspectral imaging near infrared (HSI-NIR) has the potential to be used as a non-destructive approach for the analysis of new microbiological matrices of agriculture interest. This article describes a new method for accurately and rapidly classifying the etiological agents Colletotrichum gossypii (CG) and C. gossypii var. cephalosporioides (CGC) grown in a culture medium, using scattering reflectance HSI-NIR and multivariate pattern recognition analysis.  aCotton crop  aFungal identification  aFungal taxonomy  aNon-destructive analysis1 aGAMBARRA-NETO, F. F.1 aCOUTINHO, W. M.1 aARAUJO, A. E. de1 aSILVA, G. F. da1 aGOUVEIA, J. P. G.1 aMEDEIROS, E. P. de  tJournal of Spectral Imaginggv. 7, a8, p. 1-17, 2018.