Detection of sunn pest-damaged wheat samples using visible/near-infrared spectroscopy based on pattern recognition.
Basati, Zahra
Detection of sunn pest-damaged wheat samples using visible/near-infrared spectroscopy based on pattern recognition. [electronic resource] - Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Oct 2018 - 308-314 p. digital
Publication Type: Journal Article
1873-3557
10.1016/j.saa.2018.05.123 doi
Algorithms
Pattern Recognition, Automated
Principal Component Analysis
Spectroscopy, Near-Infrared--methods
Triticum--chemistry
Detection of sunn pest-damaged wheat samples using visible/near-infrared spectroscopy based on pattern recognition. [electronic resource] - Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Oct 2018 - 308-314 p. digital
Publication Type: Journal Article
1873-3557
10.1016/j.saa.2018.05.123 doi
Algorithms
Pattern Recognition, Automated
Principal Component Analysis
Spectroscopy, Near-Infrared--methods
Triticum--chemistry