Model robustness in estimation of blueberry SSC using NIRS-Reference-Cited by-同舟云学术

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Model robustness in estimation of blueberry SSC using NIRS

Published:2022-07 Issue: Volume:198 Page:107073
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Bai Yuhao,Fang Yinlong,Zhang Baohua,Fan Shuxiang

Funder

Jiangsu Agricultural Science and Technology Innovation Fund

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference52 articles.

1. Achieving robustness across season, location and cultivar for a NIRS model for intact mango fruit dry matter content;Anderson;Postharvest Biol. Technol.,2020

2. Accurate prediction of soluble solid content of apples from multiple geographical regions by combining deep learning with spectral fingerprint features;Bai;Postharvest Biol. Technol.,2019

3. Improvement of calibration models using two successive orthogonal projection methods. Application to quantification of wine mannoproteins;Boulet;Chemometrics Intell. Lab. Syst.,2007

4. Postharvest quality of apple predicted by NIR-spectroscopy: Study of the effect of biological variability on spectra and model performance;Bobelyn;Postharvest Biol. Technol.,2010

5. Standardized spectral and radiometric calibration of consumer cameras;Burggraaff;Opt. Express,2019

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