ArticleSensors (Basel, Switzerland)2022
Multispectral Wavebands Selection for the Detection of Potential Foreign Materials in Fresh-Cut Vegetables.
Article in Sensors (Basel, Switzerland), 2022. 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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Who cites it
5 citing papers in PubMed.
- Multispectral Fluorescence Imaging for Fast Identification of Cold Stress in Pepper Plants.Sensors (Basel, Switzerland) · 2026Article
- Integrated Ultra-Wideband Microwave System to Measure Composition Ratio Between Fat and Muscle in Multi-Species Tissue Types.Sensors (Basel, Switzerland) · 2025Article
- Dual imaging technique for a real-time inspection system of foreign object detection in fresh-cut vegetables.Current research in food science · 2024Article
- Review
- Non-Destructive Detection of Abnormal Chicken Eggs by Using an Optimized Spectral Analysis System.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ensuring the quality of fresh-cut vegetables is the greatest challenge for the food industry and is equally as important to consumers (and their health). Several investigations have proven the necessity of advanced technology for detecting foreign materials (FMs) in fresh-cut vegetables. In this study, the possibility of using near infrared spectral analysis as a potential technique was investigated to identify various types of FMs in seven common fresh-cut vegetables by selecting important wavebands. Various waveband selection methods, such as the weighted regression coefficient (WRC), variable importance in projection (VIP), sequential feature selection (SFS), successive projection algorithm (SPA), and interval PLS (iPLS), were used to investigate the optimal multispectral wavebands to classify the FMs and vegetables. The application of selected wavebands was further tested using NIR imaging, and the results showed good potentiality by identifying 99 out of 107 FMs. The results indicate the high applicability of the multispectral NIR imaging technique to detect FMs in fresh-cut vegetables for industrial application.
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Registered trials
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