Chu Zhang
Orcid: 0000-0001-6760-3154Affiliations:
- Zhejiang University, College of Biosystems Engineering and Food Science, Hangzhou, China
- Zhejiang University, College of Biosystems Engineering and Food Science, Hangzhou, China (PhD 2016)
According to our database1,
Chu Zhang
authored at least 25 papers
between 2013 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
AncientGlyphNet: an advanced deep learning framework for detecting ancient Chinese characters in complex scene.
Artif. Intell. Rev., March, 2025
Artif. Intell. Rev., March, 2025
2024
SAM-GAN: An improved DCGAN for rice seed viability determination using near-infrared hyperspectral imaging.
Comput. Electron. Agric., January, 2024
Emotion Recognition Based on Handwriting Using Generative Adversarial Networks and Deep Learning.
IET Biom., 2024
Detection of oilseed rape clubroot based on low-field nuclear magnetic resonance imaging.
Comput. Electron. Agric., 2024
2023
Identification of chrysanthemum using hyperspectral imaging based on few-shot class incremental learning.
Comput. Electron. Agric., December, 2023
Artif. Intell. Rev., November, 2023
2021
A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping.
Comput. Electron. Agric., 2021
2020
High-Throughput Screening of Free Proline Content in Rice Leaf under Cadmium Stress Using Hyperspectral Imaging with Chemometrics.
Sensors, 2020
2019
Identification of Soybean Varieties Using Hyperspectral Imaging Coupled with Convolutional Neural Network.
Sensors, 2019
Wind Field Distribution of Multi-rotor UAV and Its Influence on Spectral Information Acquisition of Rice Canopies.
Remote. Sens., 2019
Cost-sensitive stacked sparse auto-encoder models to detect striped stem borer infestation on rice based on hyperspectral imaging.
Knowl. Based Syst., 2019
Detection of Subtle Bruises on Winter Jujube Using Hyperspectral Imaging With Pixel-Wise Deep Learning Method.
IEEE Access, 2019
2018
Identification of Coffee Varieties Using Laser-Induced Breakdown Spectroscopy and Chemometrics.
Sensors, 2018
Fast Detection of Copper Content in Rice by Laser-Induced Breakdown Spectroscopy with Uni- and Multivariate Analysis.
Sensors, 2018
Application of Hyperspectral Imaging to Detect <i>Sclerotinia sclerotiorum</i> on Oilseed Rape Stems.
Sensors, 2018
Detection of <i>Sclerotinia</i> Stem Rot on Oilseed Rape (<i>Brassica napus</i> L.) Leaves Using Hyperspectral Imaging.
Sensors, 2018
Detection of Oil Chestnuts Infected by Blue Mold Using Near-Infrared Hyperspectral Imaging Combined with Artificial Neural Networks.
Sensors, 2018
Fast Detection of <i>Sclerotinia Sclerotiorum</i> on Oilseed Rape Leaves Using Low-Altitude Remote Sensing Technology.
Sensors, 2018
2017
Grading of Chinese Cantonese Sausage Using Hyperspectral Imaging Combined with Chemometric Methods.
Sensors, 2017
Discrimination of Transgenic Maize Kernel Using NIR Hyperspectral Imaging and Multivariate Data Analysis.
Sensors, 2017
Fast Detection of Striped Stem-Borer (<i>Chilo suppressalis</i> Walker) Infested Rice Seedling Based on Visible/Near-Infrared Hyperspectral Imaging System.
Sensors, 2017
2016
Determination and Visualization of pH Values in Anaerobic Digestion of Water Hyacinth and Rice Straw Mixtures Using Hyperspectral Imaging with Wavelet Transform Denoising and Variable Selection.
Sensors, 2016
2015
Application of Visible and Near-Infrared Hyperspectral Imaging to Determine Soluble Protein Content in Oilseed Rape Leaves.
Sensors, 2015
2013
Rice Seed Cultivar Identification Using Near-Infrared Hyperspectral Imaging and Multivariate Data Analysis.
Sensors, 2013