ReviewFood chemistry: X2024
Advancements, limitations and challenges in hyperspectral imaging for comprehensive assessment of wheat quality: An up-to-date review.
Review in Food chemistry: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- SERS-Based Detection of Food Contaminants: From Laboratory Sensitivity to Practical Implementation-Bottlenecks and Pathways to Standardization.Foods (Basel, Switzerland) · 2026Review
- Effects of Dominant Fungi on Wheat Quality During Storage.Foods (Basel, Switzerland) · 2026Article
- Laser-induced hyperspectral fluorescence for spatio-chemical detection of sunscreen contaminants in food-grade sea salt using sparse PCA-SVM analysis.Environmental geochemistry and health · 2026Article
- Study on Quality Detection Methods for Table Grapes Based on Spectral and Imaging Information.Sensors (Basel, Switzerland) · 2026Article
- Enabling rapid and accurate grand discrimination of flue-cured tobacco: a near-infrared hyperspectral and machine learning approach.Frontiers in plant science · 2026Article
- Optimizing biomass partitioning in wheat using UAV-based hyperspectral phenomic and genomic prediction: kernel-based and machine learning approaches.Frontiers in plant science · 2026Article
- A Preliminary Study of Hyperspectral Imaging Combined with Dual-Threshold Segmentation Technique for Peeling Rate Determination in Potatoes.Sensors (Basel, Switzerland) · 2025Article
- VNIR Hyperspectral Signatures for Early Detection and Machine-Learning Classification of Wheat Diseases.Plants (Basel, Switzerland) · 2025Article
- Impact of Temperature Stresses on Wheat Quality: A Focus on Starch and Protein Composition.Foods (Basel, Switzerland) · 2025Review
- Hyperspectral Imaging Study of Wheat Grains Infected with Several Fusarium Fungal Species and Their Identification with PCA-Based Approach.Molecules (Basel, Switzerland) · 2025Article
- Non-Destructive Detection of Soybean Storage Quality Using Hyperspectral Imaging Technology.Molecules (Basel, Switzerland) · 2025Article
- Advances in Computer Vision and Spectroscopy Techniques for Non-Destructive Quality Assessment ofFoods (Basel, Switzerland) · 2025Review
- Damage Detection in Glass Fibre Composites Using Cointegrated Hyperspectral Images.Sensors (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The potential of hyperspectral imaging technology (HIT) for the determination of physicochemical and nutritional components, evaluation of fungal/mycotoxins contamination, wheat varieties classification, identification of non-mildew-damaged wheat kernels, as well as detection of flour adulteration is comprehensively illustrated and reviewed. The latest findings (2018-2023) of HIT in wheat quality evaluation through internal and external attributes are compared and summarized in detail. The limitations and challenges of HIT to improve assessment accuracy are clearly described. Additionally, various practical recommendations and strategies for the potential application of HIT are highlighted. The future trends and prospects of HIT in evaluating wheat quality are also mentioned. In conclusion, HIT stands as a cutting-edge technology with immense potential for revolutionizing wheat quality evaluation. As advancements in HIT continue, it will play a pivotal role in shaping the future of wheat quality assessment and contributing to a more sustainable and efficient food supply chain.
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Registered trials
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