Improving apple fruit quality predictions by effective correction of Vis-NIR laser diffuse reflecting images

Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis

Volumn 28, Issue 6, 2008, Pages 1273-1277

  Qing, Zhao Shen ^a   Ji, Bao Ping ^a   Shi, Bo Lin ^a   Zhu, Da Zhou ^a   Tu, Zhen Hua ^a   Zude, Manuela ^b  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

^b LEIBNIZ INSTITUTE FOR AGRICULTURAL ENGINEERING AND BIOECONOMY ATB   (Germany)

Author keywords

Corrected algorithm; Firmness; Frequency of intensities; Fuji apple; Laser diffuse reflecting images; SSC; Vis NIR

Indexed keywords

AGRICULTURAL PRODUCTS; CALIBRATION; COMPUTER GRAPHICS; CURVE FITTING; FOOD PROCESSING; FORECASTING; FRUIT JUICES; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGING SYSTEMS; IMAGING TECHNIQUES; LASERS; LEAST SQUARES APPROXIMATIONS; LIGHT REFLECTION; OPTICAL DATA PROCESSING; PULSED LASER DEPOSITION; REFLECTION; REGRESSION ANALYSIS; STANDARDS;

DIFFUSE REFLECTIONS; FRUIT QUALITY; IMAGE-PROCESSING ALGORITHMS; LASER DIODE (LD); LASER-INDUCED; LIGHT BACKSCATTERING; MEAN VALUE (MV); PARTIAL LEAST SQUARES REGRESSION (PLSR); RAW DATA; STANDARD ERROR OF PREDICTION (S.E.P); WAVELENGTH BANDS;

FRUITS;

APPLE; ARTICLE; CHEMISTRY; FRUIT; LASER; METHODOLOGY; NEAR INFRARED SPECTROSCOPY; RADIATION SCATTERING; REGRESSION ANALYSIS; STANDARD;

FRUIT; LASERS; LEAST-SQUARES ANALYSIS; MALUS; SCATTERING, RADIATION; SPECTROSCOPY, NEAR-INFRARED;

EID: 47049084770     PISSN: 10000593     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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