Visible/near-infrared hyperspectral imaging for beef tenderness prediction

Computers and Electronics in Agriculture

Volumn 64, Issue 2, 2008, Pages 225-233

  Naganathan, Govindarajan Konda ^a   Grimes, Lauren M ^a   Subbiah, Jeyamkondan ^a   Calkins, Chris R ^a   Samal, Ashok ^a   Meyer, George E ^a  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Beef tenderness; Hyperspectral imaging; Instrument grading; Principal component analysis; Textural co occurrence matrices

Indexed keywords

ATMOSPHERICS; CUSTOMER SATISFACTION; DIGITAL IMAGE STORAGE; ELECTROMAGNETIC WAVES; FEATURE EXTRACTION; FORECASTING; IMAGE ENHANCEMENT; IMAGING SYSTEMS; KETONES; MEATS; NEURAL NETWORKS; OPTOELECTRONIC DEVICES; QUALITY FUNCTION DEPLOYMENT; REFLECTION;

BEEF TENDERNESS; HYPERSPECTRAL IMAGING; INSTRUMENT GRADING; TEXTURAL CO-OCCURRENCE MATRICES;

PRINCIPAL COMPONENT ANALYSIS;

FOOD QUALITY; IMAGING METHOD; MEAT; NEAR INFRARED; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; SPECTRAL ANALYSIS; TEXTURE;

EID: 53549119943     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2008.05.020     Document Type: Article

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