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- W3140838414 abstract "Objective A rapid method was developed for identification of different varieties and storage time of persimmon by near infrared diffuse reflectance spectroscopy(NIRS). Methods ‘Mopan' permissions and ‘Yangfeng' sweet persimmons were collected and refrigerated at 0±0.5 ℃for 20 d、40 d and 60 d storage, and their spectra were acquired respectively by NIRS. After smooth processing, first derivative and standard normal variate(SNV), principal component analysis(PCA) was used to establish identification models. Results The calibration model for different varieties of persimmon, the correct classification rate was 100%. The calibration model for different storage time of ‘Yangfeng' sweet persimmon, the correct classification rate was 97.78%. The calibration model for different storage time of mopan persimmon, the correct classification rate was 98.89%. Three prediction models cumulative accuracy rate was 96.67%. Conclusion The qualitative identification of different kinds of persimmon and their storage time by near infrared diffuse reflectance spec-troscopy has application value." @default.
- W3140838414 created "2021-04-13" @default.
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- W3140838414 date "2014-01-01" @default.
- W3140838414 modified "2023-09-23" @default.
- W3140838414 title "Identification of different varieties and storage time of persimmon by near infrared diffuse reflectance spectroscopy" @default.
- W3140838414 hasPublicationYear "2014" @default.
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