Discrimination of unsound wheat kernels based on deep convolutional generative adversarial network and near-infrared hyperspectral imaging technology

A case study of conditional deep convolutional generative adversarial networks in machine fault diagnosis

(2020) Jia Luo et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Integration of spectroscopy and image for identifying fusarium damage in wheat kernels

(2020) Dongyan Zhang et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Determination of moisture content in barley seeds based on hyperspectral imaging technology

(2020) Heng Sun et al.   SPECTROSCOPY LETTERS

A novel hyperspectral-based approach for identification of maize kernels infected with diverse Aspergillus flavus fungi

(2020) Feifei Tao et al.   BIOSYSTEMS ENGINEERING

Extending the spectral database of laser-induced breakdown spectroscopy with generative adversarial nets

(2019) G. E. Teng et al.   OPTICS EXPRESS

Data augmentation in fault diagnosis based on the Wasserstein generative adversarial network with gradient penalty

(2019) Xin Gao et al.   NEUROCOMPUTING

Identification of wheat grain in different states based on hyperspectral imaging technology

(2019) Liu Zhang et al.   SPECTROSCOPY LETTERS

Caps-TripleGAN: GAN-Assisted CapsNet for Hyperspectral Image Classification

(2019) Xue Wang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Classification of hybrid seeds using near-infrared hyperspectral imaging technology combined with deep learning

(2019) Pengcheng Nie et al.   SENSORS AND ACTUATORS B-CHEMICAL

Hyperspectral imaging technology combined with deep forest model to identify frost-damaged rice seeds

(2019) Liu Zhang et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Classification of Fusarium-infected and healthy wheat kernels based on features from hyperspectral images and flatbed scanner images: a comparative analysis

(2018) Ewa Ropelewska et al.   EUROPEAN FOOD RESEARCH AND TECHNOLOGY

Effective data generation for imbalanced learning using conditional generative adversarial networks

(2018) Georgios Douzas et al.   EXPERT SYSTEMS WITH APPLICATIONS

Semisupervised Hyperspectral Image Classification Based on Generative Adversarial Networks

(2018) Ying Zhan et al.   IEEE Geoscience and Remote Sensing Letters

Generative Adversarial Networks for Hyperspectral Image Classification

(2018) Lin Zhu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Non-Destructive and Rapid Variety Discrimination and Visualization of Single Grape Seed Using Near-Infrared Hyperspectral Imaging Technique and Multivariate Analysis

(2018) Yiying Zhao et al.   MOLECULES

Auxiliary Classifier Generative Adversarial Network With Soft Labels in Imbalanced Acoustic Event Detection

(2018) Xianjun Xia et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Agricultural factors affecting Fusarium communities in wheat kernels

(2017) Ida Karlsson et al.   INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY

Detection of Fusarium damaged kernels in Canada Western Red Spring wheat using visible/near-infrared hyperspectral imaging and principal component analysis

(2010) Muhammad A. Shahin et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE