[HTML][HTML] Comparative analysis of hyperspectral image reconstruction using deep learning for agricultural and biological applications
Hyperspectral imaging (HSI) has become a key technology for non-invasive quality
evaluation in various fields, offering detailed insights through spatial and spectral data …
evaluation in various fields, offering detailed insights through spatial and spectral data …
Study on Rapid Non-Destructive Detection Method of Corn Freshness Based on Hyperspectral Imaging Technology
Y Zhang, S Liu, X Zhou, J Cheng - Molecules, 2024 - mdpi.com
(1) Background: To achieve the rapid, non-destructive detection of corn freshness and
staleness for better use in the storage, processing and utilization of corn.(2) Methods: In this …
staleness for better use in the storage, processing and utilization of corn.(2) Methods: In this …
Research on nondestructive detection of sweet-waxy corn seed varieties and mildew based on stacked ensemble learning and hyperspectral feature fusion …
Z Zou, J Zhen, Q Wang, Q Wu, M Li, D Yuan… - … Acta Part A: Molecular …, 2024 - Elsevier
The variety and quality of corn seeds are crucial factors affecting crop yield and farmers'
economic benefits. This study adopts an innovative method based on a hyperspectral …
economic benefits. This study adopts an innovative method based on a hyperspectral …
Discriminant analysis-based attention network for hyperspectral target detection
M Imani - Optics & Laser Technology, 2025 - Elsevier
Hyperspectral target detection is one of the main applications in remote sensing field, which
has several challenges such as imbalance between target and background and how …
has several challenges such as imbalance between target and background and how …
[HTML][HTML] Detection of Mechanical Damage in Corn Seeds Using Hyperspectral Imaging and the ResNeSt_E Deep Learning Network
H Huang, Y Liu, S Zhu, C Feng, S Zhang, L Shi, T Sun… - Agriculture, 2024 - mdpi.com
Corn is one of the global staple grains and the largest grain crop in China. During
harvesting, grain separation, and corn production, corn is susceptible to mechanical …
harvesting, grain separation, and corn production, corn is susceptible to mechanical …
[HTML][HTML] VAE-SIMCA—Data-driven method for building one class classifiers with variational autoencoders
A Petersen, S Kucheryavskiy - Chemometrics and Intelligent Laboratory …, 2025 - Elsevier
The paper proposes a new method for building one class classifiers based on variational
autoencoders (VAE). The classification decision is built on a linear combination of two …
autoencoders (VAE). The classification decision is built on a linear combination of two …
Detection of Mechanical Damage in Corn Seeds Based on Hyperspectral Imaging and Deep Learning
H Huang, Y Liu, S Zhu, S Zhang, L Shi, T Sun… - Shaoqi and Shi, Lei and … - papers.ssrn.com
During harvesting, grain separation, and corn production, corn is susceptible to mechanical
damage including surface cracks, internal cracks, and breakage. However, internal cracks …
damage including surface cracks, internal cracks, and breakage. However, internal cracks …