Nondestructive online measurement of pineapple maturity and soluble solids content using visible and near-infrared spectral analysis-Reference-Cited by-同舟云学术

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Nondestructive online measurement of pineapple maturity and soluble solids content using visible and near-infrared spectral analysis

Published:2024-03 Issue: Volume:209 Page:112706
ISSN:0925-5214
Container-title:Postharvest Biology and Technology
language:en
Short-container-title:Postharvest Biology and Technology

Author:

Semyalo Dennis,Kwon Ohtae,Wakholi Collins,Min Hyun Jung,Cho Byoung-Kwan

Funder

Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries

Ministry of Agriculture, Food and Rural Affairs

Publisher

Elsevier BV

Subject

Horticulture,Agronomy and Crop Science,Food Science

Reference37 articles.

1. Feasibility study of the use of handheld NIR spectrometer for simultaneous authentication and quantification of quality parameters in intact pineapple fruits;Amuah;J. Spectrosc.,2019

2. Pineapple maturity recognition using RGB extraction;Asnor;Int. J. Electr. Comput. Eng.,2013

3. Comparisons of different regressions tools in measurement of antioxidant activity in green tea using near infrared spectroscopy;Chen;J. Pharm. Biomed. Anal.,2012

4. Prediction of soluble solids content of pineapple via non-invasive low cost visible and shortwave near infrared spectroscopy and artificial neural network;Chia;Biosyst. Eng.,2012

5. Output relevant slow feature extraction using partial least squares;Chiplunkar;Chemom. Intell. Lab. Syst.,2019

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1. Transmittance spectra and acoustic properties of durians with different ripening: An exploration of application for complex-structured and large-sized fruit;Postharvest Biology and Technology;2024-11

2. A shelf life prediction model of Actinidia arguta ‘Chang Jiang No.1’ based on postharvest quality evaluation combined with fuzzy mathematics;Journal of Stored Products Research;2024-09

3. Determination of soluble solids content in loquat using near-infrared spectroscopy coupled with broad learning system and hybrid wavelength selection strategy;LWT;2024-08

4. Integrating self-organizing feature map with graph convolutional network for enhanced superpixel segmentation and feature extraction in non-Euclidean data structure;Multimedia Tools and Applications;2024-06-24

5. Online detection of lycopene content in the two cultivars of tomatoes by multi-point full transmission Vis-NIR spectroscopy;Postharvest Biology and Technology;2024-05

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