Adaptability of four-samples sensory tests and prediction of visual and near-infrared reflectance spectroscopy for Chinese indica rice

References

Page 1

	Year	Citations
Estimating the amino acid composition in milled rice by near-infrared reflectance spectroscopy Chunhai Shi, Xiaoming Zhang Field Crops Research Food ChemistryPrecision AgricultureAmino Acid CompositionEngineeringBiochemistry	2002	120
Prediction of Rice Starch Quality Parameters by Near‐Infrared Reflectance Spectroscopy Jinsong Bao, Yutao Cai, Harold Corke Journal of Food Science NutritionFood AnalysisAgricultural EconomicsGrain QualityPartial Least Squares	2001	108
Prediction of Cooked Rice Texture Quality Using Near‐Infrared Reflectance Analysis of Whole‐Grain Milled Samples William R. Windham, B.G. LYON, Elaine T. Champagne, Cereal Chemistry Food AnalysisAbstract Rice QualityAgricultural EconomicsGrain QualityPartial Least Squares	1997	94
Prediction of grain weight, brown rice weight and amylose content in single rice grains using near-infrared reflectance spectroscopy Jian Wu, C. H. Shi Field Crops Research Precision AgricultureEngineeringSingle Rice GrainsOptical PropertiesSpectroscopy	2003	74
Application of near-infrared reflectance spectroscopy in the determination of major components in taramosalata Konstantinos G. Adamopoulos, Athanasia M. Goula Journal of Food Engineering Major ComponentsBotanyImaging SpectroscopyNatural SciencesSpectroscopy	2003	20
VISUAL AND NEAR-INFRARED REFLECTANCE SPECTROSCOPY FOR RICE TASTE EVALUATION Shuso Kawamura, Motoyasu Natsuga, K. Itoh Transactions of the ASAE Precision AgricultureEngineeringMeasurementCalibration ModelFood Analysis	1997	16
Determination of Apparent Amylose Content in Japanese Milled Rice Using Near-Infrared Transmittance Spectroscopy. Naoto Shimizu, Jyunji Katsura, Takashi Yanagisawa, Food Science and Technology Research Plant AnalysisPrecision AgricultureEnvironmental MonitoringEngineeringPls Modeling	1999	15
Calibration optimization for rice apparent amylose content by near infrared reflectance spectroscopy (NIRS) Qing Shu Journal of Zhejiang Agricultural University Precision AgricultureEngineeringAgricultural EconomicsCalibration OptimizationYield Prediction	1999	14
Palatability Evaluation for Cooked Rice by a Visible and Near Infrared Spectroscopy. Takashi Mikami, Takashi Kashiwamura, Yoshinobu TSUCHIYA, Nippon Shokuhin Kagaku Kogaku Kaishi Food ChemistryCooked RiceFood AnalysisNear Infrared SpectroscopyPalatability Evaluation	2000	13

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