Nondestructive Detection of Postharvest Quality of Cherry Tomatoes Using a Portable NIR Spectrometer and Chemometric Algorithms-Reference-Cited by-同舟云学术

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Nondestructive Detection of Postharvest Quality of Cherry Tomatoes Using a Portable NIR Spectrometer and Chemometric Algorithms

Published:2019-01-08 Issue:4 Volume:12 Page:914-925
ISSN:1936-9751
Container-title:Food Analytical Methods
language:en
Short-container-title:Food Anal. Methods

Author:

Feng Lei,Zhang Min^ORCID,Adhikari Benu,Guo Zhimei

Funder

Jiangsu Province (China) Key Project in Agriculture

National Key R&D Program of China

Publisher

Springer Science and Business Media LLC

Subject

Safety Research,Safety, Risk, Reliability and Quality,Applied Microbiology and Biotechnology,Food Science,Analytical Chemistry

Link

http://link.springer.com/content/pdf/10.1007/s12161-018-01429-9.pdf

Reference60 articles.

1. Amodio ML, Ceglie F, Chaudhry MMA, Piazzolla F, Colelli G (2017) Potential of NIR spectroscopy for predicting internal quality and discriminating among strawberry fruits from different production systems. Postharvest Biol Technol 125:112–121

2. Arazuri S, Jarén C, Arana JI, Pérez De Ciriza JJ (2007) Influence of mechanical harvest on the physical properties of processing tomato (Lycopersicon esculentum Mill.). J Food Eng 80(1):190–198

3. Balasundaram S, Gupta D (2016) On optimization based extreme learning machine in primal for regression and classification by functional iterative method. Int J Mach Learn Cybern 7(5):707–728

4. Bian X, Zhang C, Tan X, Dymek M, Guo Y, Lin L, Cheng B, Hu X (2017) A boosting extreme learning machine for near-infrared spectral quantitative analysis of diesel fuel and edible blend oil samples. Anal Methods-UK 9(20):2983–2989

5. Bobelyn E, Serban A, Nicu M, Lammertyn J, Nicolai BM, Saeys W (2010) Postharvest quality of apple predicted by NIR-spectroscopy: study of the effect of biological variability on spectra and model performance. Postharvest Biol Technol 55(3):133–143

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