ArticleHeliyon2018
An examination of the principle of non-destructive flesh firmness measurement of peach fruit by using VIS-NIR spectroscopy.
Article in Heliyon, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 54 citations in OpenAlex.
- Non-destructive measurement of eggshell strength using NIR spectroscopy and explainable artificial intelligence.Journal of the science of food and agriculture · 2025Article
- Biochemical and molecular changes in peach fruit exposed to cold stress conditions.Molecular horticulture · 2023Review
- Research on construction method and validity mechanism of robust analysis model in snow peach quality detection based on visible-near infrared spectroscopy.Frontiers in nutrition · 2022Article
- Article
- Predicting Marian Plum Fruit Quality without Environmental Condition Impact by Handheld Visible-Near-Infrared Spectroscopy.ACS omega · 2020Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evaluating the maturity of peach fruit is desirable during both the preharvest and postharvest periods, and flesh firmness (FF) is a representative maturity index. Although a non-destructive FF measurement technique using visible (VIS) and near-infrared (NIR) spectroscopy has been developed, the principle has been unclear. This study was conducted to examine the structure of the FF prediction model by comparing with that of the model for measuring water-soluble pectin (WSP) content. Those two prediction models have the same information regions related to the colors of pericarp and mesocarp (chlorophyll) and to a water band in the NIR region. Moreover, a statistical heterospectroscopy analysis between NIR and
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Registered trials
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