ArticleMolecules (Basel, Switzerland)2019
Classification of Frozen Corn Seeds Using Hyperspectral VIS/NIR Reflectence Imaging.
Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- High accuracy identification of maize seed varieties based on a lightweight improved YOLOv8.Scientific reports · 2025Article
- Corn Seed Freezing Damage Identification of Different Sides Based on Hyperspectral Imaging and SPA-2DCOS Fusion Algorithm.Molecules (Basel, Switzerland) · 2025Article
- Application of Hyperspectral Imaging and Deep Convolutional Neural Network for Freezing Damage Identification on Embryo and Endosperm Side of Single Corn Seed.Foods (Basel, Switzerland) · 2025Article
- SE-enhanced 1-D CNN with full-band hyperspectral imaging for rapid and accurate maize seed variety classification.Frontiers in plant science · 2025Article
- Classification of multi-year and multi-variety pumpkin seeds using hyperspectral imaging technology and three-dimensional convolutional neural network.Plant methods · 2023Article
- Determination of corn protein content using near-infrared spectroscopy combined with A-CARS-PLS.Food chemistry: X · 2023Article
- Sunflower seeds classification based on sparse convolutional neural networks in multi-objective scene.Scientific reports · 2022Article
- Nondestructive Classification of Maize Moldy Seeds by Hyperspectral Imaging and Optimal Machine Learning Algorithms.Sensors (Basel, Switzerland) · 2022Article
- Research on physicochemical properties, microscopic characterization and detection of different freezing-damaged corn seeds.Food chemistry: X · 2022Article
- Hyperspectral detection of fresh corn peeling damage using germinating sparse classification method.Frontiers in plant science · 2022Article
- Visualizing Polymer Damage Using Hyperspectral Imaging.Polymers · 2020Article
- Advances in Near-Infrared Spectroscopy and Related Computational Methods.Molecules (Basel, Switzerland) · 2019Article
- Identification of Soybean Seed Varieties Based on Hyperspectral Imaging Technology.Sensors (Basel, Switzerland) · 2019Article
- Rapid and Nondestructive Measurement of Rice Seed Vitality of Different Years Using Near-Infrared Hyperspectral Imaging.Molecules (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
A VIS/NIR hyperspectral imaging system was used to classify three different degrees of freeze-damage in corn seeds. Using image processing methods, the hyperspectral image of the corn seed embryo was obtained first. To find a relatively better method for later imaging visualization, four different pretreatment methods (no pretreatment, multiplicative scatter correction (MSC), standard normal variation (SNV) and 5 points and 3 times smoothing (5-3 smoothing)), four wavelength selection algorithms (successive projection algorithm (SPA), principal component analysis (PCA), X-loading and full-band method) and three different classification modeling methods (partial least squares-discriminant analysis (PLS-DA), K-nearest neighbor (KNN) and support vector machine (SVM)) were applied to make a comparison. Next, the visualization images according to a mean spectrum to mean spectrum (M2M) and a mean spectrum to pixel spectrum (M2P) were compared in order to better represent the freeze damage to the seed embryos. It was concluded that the 5-3 smoothing method and SPA wavelength selection method applied to the modeling can improve the signal-to-noise ratio, classification accuracy of the model (more than 90%). The final classification results of the method M2P were better than the method M2M, which had fewer numbers of misclassified corn seed samples and the samples could be visualized well.
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