Quality assessment of crop seeds by near-infrared hyperspectral imaging

Sensor Letters

Volumn 9, Issue 3, 2011, Pages 1144-1150

  Zhu, Dazhou ^a,b   Wang, Kun ^a   Zhang, Dongyan ^b   Huang, Wenjiang ^b   Yang, Guijun ^b   Ma, Zhihong ^c   Wang, Cheng ^a,b  

^a National Engineering Research Center of Intelligent Equipment for Agriculture   (China)

^b NATIONAL ENGINEERING RESEARCH CENTER FOR INFORMATION TECHNOLOGY IN AGRICULTURE   (China)

^c Beijing Research Center for Agrifood Testing and Farmland Monitoring   (China)

Author keywords

Genetic algorithm; Hyperspectral imaging; Near infrared; Seed; Soybean; Wheat

Indexed keywords

BREEDING MATERIALS; CALIBRATION MODEL; CORRELATION COEFFICIENT; CRUDE FAT; CRUDE PROTEINS; DATA CUBE; HYPER-SPECTRAL IMAGES; HYPERCUBE; HYPERSPECTRAL IMAGING; HYPERSPECTRAL IMAGING SYSTEMS; IMAGE PROCESSING - METHODS; MODEL PERFORMANCE; MULTI-SPECTRAL IMAGING SYSTEMS; NEAR INFRARED; NEAR-INFRARED HYPERSPECTRAL IMAGING; NIR SPECTROSCOPY; PARTIAL LEAST SQUARE REGRESSION; POTENTIAL APPLICATIONS; PUSHBROOM; QUALITY ASSESSMENT; REDUNDANT INFORMATIONS; SENSITIVE WAVELENGTHS; SOYBEAN; SOYBEAN SEEDS; SPATIAL INFORMATIONS; SPECTRAL IMAGES; STANDARD DEVIATION; WHEAT; WINTER WHEAT;

CALIBRATION; GENETIC ALGORITHMS; IMAGE PROCESSING; IMAGING SYSTEMS; INFRARED DEVICES; NEAR INFRARED SPECTROSCOPY; OILSEEDS; SEED;

CROPS;

EID: 84863012643     PISSN: 1546198X     EISSN: None     Source Type: Journal    
DOI: 10.1166/sl.2011.1377     Document Type: Article

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