ArticleScientific reports2024
Quantitative measurement of internal quality of carrots using hyperspectral imaging and multivariate analysis.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 15 citations in OpenAlex.
- Estimation of protein content in wheat samples using NIR hyperspectral imaging and 1D-CNN.Scientific reports · 2025Article
- Adaptive pixel attention network for hyperspectral image classification.Scientific reports · 2024Article
- Estimation Model for Maize Multi-Components Based on Hyperspectral Data.Sensors (Basel, Switzerland) · 2024Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
The study aimed to measure the carotenoid (Car) and pH contents of carrots using hyperspectral imaging. A total of 300 images were collected using a hyperspectral imaging system, covering 472 wavebands from 400 to 1000 nm. Regions of interest (ROIs) were defined to extract average spectra from the hyperspectral images (HIS). We developed two models: least squares support vector machine (LS-SVM) and partial least squares regression (PLSR) to establish a quantitative analysis between the pigment amounts and spectra. The spectra and pigment contents were predicted and correlated using these models. The selection of EWs for modeling was done using the Successive Projections Algorithm (SPA), regression coefficients (RC) from PLSR models, and LS-SVM. The results demonstrated that hyperspectral imaging could effectively evaluate the internal attributes of carrot cortex and xylem. Moreover, these models accurately predicted the Car and pH contents of the carrot parts. This study provides a valuable approach for variable selection and modeling in hyperspectral imaging studies of carrots.
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Registered trials
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