Prediction of kernel density of corn using single-kernel near infrared spectroscopy

Applied Engineering in Agriculture

Volumn 28, Issue 4, 2012, Pages 569-574

  Armstrong, P R ^a   Tallada, J G ^a  

^a Engineering and Wind Erosion Research Unit   (United States)

Author keywords

Corn hardness; Kernel density; NIRS; Partial least squares regression

Indexed keywords

ABSORBANCE SPECTRUM; BULK SAMPLES; COEFFICIENT OF DETERMINATION; COMMERCIAL INSTRUMENTS; CROSS VALIDATION; DENSITY VALUE; FOOD PROCESSORS; GAS PYCNOMETERS; HIGH DENSITY; KERNEL DENSITY; NIRS; OIL CONTENTS; PARTIAL LEAST SQUARES REGRESSION; POTENTIAL APPLICATIONS; PRE-TREATMENTS; PREDICTION EQUATIONS; PREDICTION MODEL; REFERENCE METHOD; STANDARD DEVIATION; STANDARD ERROR OF PREDICTION; STANDARD ERRORS; STARCH CONTENTS;

DENSITY MEASUREMENT (SPECIFIC GRAVITY); HARDNESS; NEAR INFRARED SPECTROSCOPY; OILS AND FATS; STATISTICS;

FORECASTING;

ZEA MAYS;

EID: 84867275099     PISSN: 08838542     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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