ArticlePlants (Basel, Switzerland)2022
Field Application of a Vis/NIR Hyperspectral Imaging System for Nondestructive Evaluation of Physicochemical Properties in 'Madoka' Peaches.
Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Optimal-Band Analysis for Chlorophyll Quantification in Rice Leaves Using a Custom Hyperspectral Imaging System.Plants (Basel, Switzerland) · 2024Article
- Fruit and Vegetable Production.Plants (Basel, Switzerland) · 2023Article
- Nondestructive quality assessment and maturity classification of loquats based on hyperspectral imaging.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Extensive research has been performed on the in-field nondestructive evaluation (NDE) of the physicochemical properties of 'Madoka' peaches, such as chromaticity (a*), soluble solids content (SSC), firmness, and titratable acidity (TA) content. To accomplish this, a snapshot-based hyperspectral imaging (HSI) approach for filed application was conducted in the visible and near-infrared (Vis/NIR) region. The hyperspectral images of 'Madoka' samples were captured and combined with commercial HSI analysis software, and then the physicochemical properties of the 'Madoka' samples were predicted. To verify the performance of the field-based HSI application, a lab-based HSI application was also conducted, and their coefficient of determination values (R
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Registered trials
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