ReviewPlant methods2019
Hyperspectral imaging for seed quality and safety inspection: a review.
Review in Plant methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
- Weakly Supervised Fine-Grained Discrimination of Wheat Mold Using Local RGB-HSI Fusion.Foods (Basel, Switzerland) · 2026Article
- GMFNet: A GADF-Mamba Fusion Network for Soybean Seed Hyperspectral Classification.Foods (Basel, Switzerland) · 2026Article
- Curvelet Decomposition-Based Tri-Branch Coupling Network for Hyperspectral Unsound Maize Seeds Identification.Foods (Basel, Switzerland) · 2026Article
- Higher plant seed container germination success predicted by smart farming optical RGB approach.Scientific reports · 2026Article
- Climate-robust evaluation of alfalfa seed maturity via an EMD-guided deep learning framework using multispectral imaging.Plant phenomics (Washington, D.C.) · 2026Article
- Energy-Efficient and Economy-Sustainable Technology for Online Seed Viability Detection Using Hyper Spectrum.Sensors (Basel, Switzerland) · 2026Article
- Identification of HybridBiosensors · 2025Article
- Detection of Rice Prolamin and Glutelin Content Using Hyperspectral Imaging Combined with Feature Selection Algorithms and Multivariate Regression Models.Foods (Basel, Switzerland) · 2025Article
- High accuracy identification of maize seed varieties based on a lightweight improved YOLOv8.Scientific reports · 2025Article
- Changes in the Stress Response and Fitness of Hybrids Between Transgenic Soybean and Wild-Type Plants Under Heat Stress.Plants (Basel, Switzerland) · 2025Article
- MRI-Seed-Wizard: combining deep learning algorithms with magnetic resonance imaging enables advanced seed phenotyping.Journal of experimental botany · 2025Article
- A hyperspectral imaging and machine learning approach for rapid and non-invasive diagnosis of cassava bacterial blight.Frontiers in plant science · 2025Article
- Leveraging sensor technologies for seed phenotyping by genebanks.Frontiers in plant science · 2025Article
- Progress in the application of hyperspectral imaging technology in quality detection and in the modernization of Chinese herbal medicines.Frontiers in chemistry · 2025Review
- Optimized wavelength selection for eggplant seed vitality classification using information acquisition techniques.Frontiers in plant science · 2025Article
- Quality prediction of air-cured cigar tobacco leaf using region-based neural networks combined with visible and near-infrared hyperspectral imaging.Scientific reports · 2024Article
- The seed morphospace, a new contribution towards the multidimensional study of angiosperm sexual reproductive biology.Annals of botany · 2024Article
- Automatic Measurement of Seed Geometric Parameters Using a Handheld Scanner.Sensors (Basel, Switzerland) · 2024Article
- Digital techniques and trends for seed phenotyping using optical sensors.Journal of advanced research · 2024Review
- An exploration of the influence of ZnO NPs treatment on germination of radish seeds under salt stress based on the YOLOv8-R lightweight model.Plant methods · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hyperspectral imaging has attracted great attention as a non-destructive and fast method for seed quality and safety assessment in recent years. The capability of this technique for classification and grading, viability and vigor detection, damage (defect and fungus) detection, cleanness detection and seed composition determination is illustrated by presentation of applications in quality and safety determination of seed in this review. The summary of hyperspectral imaging technology for seed quality and safety inspection for each category is also presented, including the analyzed spectral range, sample varieties, sample status, sample numbers, features (spectral features, image features, feature extraction methods), signal mode and data analysis strategies. The successful application of hyperspectral imaging in seed quality and safety inspection proves that many routine seed inspection tasks can be facilitated with hyperspectral imaging.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.