Dongyan Zhang

Orcid: 0000-0003-3509-7482

Affiliations:
  • Northwest A&F University, College of Mechanical and Electronic Engineering, Yangling, Shaanxi, China
  • Anhui University, National Engineering Research Center for Agro-Ecological Big Data Analysis and Application, Hefei, China
  • Zhejiang University, School of Environment and Resources, China (PhD 2002)


According to our database1, Dongyan Zhang authored at least 62 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Segmentation of wheat scab fungus spores based on CRF_ResUNet++.
Comput. Electron. Agric., January, 2024

YOLO-CG-HS: A lightweight spore detection method for wheat airborne fungal pathogens.
Comput. Electron. Agric., 2024

2023
Assessing narrow brown leaf spot severity and fungicide efficacy in rice using low altitude UAV imaging.
Ecol. Informatics, November, 2023

Enhancing model performance in detecting lodging areas in wheat fields using UAV RGB Imagery: Considering spatial and temporal variations.
Comput. Electron. Agric., November, 2023

Detecting tomato disease types and degrees using multi-branch and destruction learning.
Comput. Electron. Agric., October, 2023

Navigation line extraction algorithm for corn spraying robot based on improved YOLOv8s network.
Comput. Electron. Agric., September, 2023

Enhancing wheat Fusarium head blight detection using rotation Yolo wheat detection network and simple spatial attention network.
Comput. Electron. Agric., August, 2023

Detection of wheat scab fungus spores utilizing the Yolov5-ECA-ASFF network structure.
Comput. Electron. Agric., July, 2023

Maize crop row recognition algorithm based on improved UNet network.
Comput. Electron. Agric., July, 2023

UAV remote sensing detection of tea leaf blight based on DDMA-YOLO.
Comput. Electron. Agric., February, 2023

SporeDet: A Real-Time Detection of Wheat Scab Spores.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

A Counting Algorithm for Adhesion of Wheat Scab Spore Based on Contour Angle-to-distance Ratio.
Proceedings of the 11th International Conference on Agro-Geoinformatics, 2023

2022
SSRNet: In-Field Counting Wheat Ears Using Multi-Stage Convolutional Neural Network.
IEEE Trans. Geosci. Remote. Sens., 2022

Winter Wheat Nitrogen Estimation Based on Ground-Level and UAV-Mounted Sensors.
Sensors, 2022

Identification of soybean based on Sentinel-1/2 SAR and MSI imagery under a complex planting structure.
Ecol. Informatics, 2022

Extraction of soybean planting area based on feature fusion technology of multi-source low altitude unmanned aerial vehicle images.
Ecol. Informatics, 2022

Assessment of the levels of damage caused by Fusarium head blight in wheat using an improved YoloV5 method.
Comput. Electron. Agric., 2022

An improved DenseNet model to classify the damage caused by cotton aphid.
Comput. Electron. Agric., 2022

2021
Identification of wheat leaf diseases and their severity based on elliptical-maximum margin criterion metric learning.
Sustain. Comput. Informatics Syst., 2021

A combination method of stacked autoencoder and 3D deep residual network for hyperspectral image classification.
Int. J. Appl. Earth Obs. Geoinformation, 2021

A Multi-View Fusion Method via Tensor Learning and Gradient Descent for Image Features.
IEEE Access, 2021

2020
Development and Evaluation of a New Spectral Disease Index to Detect Wheat Fusarium Head Blight Using Hyperspectral Imaging.
Sensors, 2020

Identification of Rice Sheath Blight through Spectral Responses Using Hyperspectral Images.
Sensors, 2020

Near-Infrared Spectroscopy Coupled Chemometric Algorithms for Rapid Origin Identification and Lipid Content Detection of Pinus Koraiensis Seeds.
Sensors, 2020

Diagnosis of the Severity of Fusarium Head Blight of Wheat Ears on the Basis of Image and Spectral Feature Fusion.
Sensors, 2020

Correction: Zhao, H., et al. Automatic Estimation of Crop Disease Severity Levels Based on Vegetation Index Normalization. Remote Sensing 2020, 12, 1930.
Remote. Sens., 2020

Automatic Estimation of Crop Disease Severity Levels Based on Vegetation Index Normalization.
Remote. Sens., 2020

Segmenting Purple Rapeseed Leaves in the Field from UAV RGB Imagery Using Deep Learning as an Auxiliary Means for Nitrogen Stress Detection.
Remote. Sens., 2020

Automatic extraction of wheat lodging area based on transfer learning method and deeplabv3+ network.
Comput. Electron. Agric., 2020

Integrating spectral and image data to detect Fusarium head blight of wheat.
Comput. Electron. Agric., 2020

Evaluation of Efficacy of Fungicides for Control of Wheat Fusarium Head Blight Based on Digital Imaging.
IEEE Access, 2020

Text-based visual question answering with knowledge base.
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

2019
Use of Unmanned Aerial Vehicle Imagery and Deep Learning UNet to Extract Rice Lodging.
Sensors, 2019

Monitoring of Nitrogen and Grain Protein Content in Winter Wheat Based on Sentinel-2A Data.
Remote. Sens., 2019

Using Neural Network to Identify the Severity of Wheat Fusarium Head Blight in the Field Environment.
Remote. Sens., 2019

Winter Wheat Mapping Based on Sentinel-2 Data in Heterogeneous Planting Conditions.
Remote. Sens., 2019

Combined Use of FCN and Harris Corner Detection for Counting Wheat Ears in Field Conditions.
IEEE Access, 2019

UAV-Based Identification of Achnatherum Splendens Community Combining K-Means and Artificial Fish Swarm Algorithm.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Rice Lodging Area Extraction Based on YCbCr Spatial and Texture Features.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Research on Diagnosis Characteristics of Wheat Powdery Mildew Under Different Severity Grading Standards.
Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

A Rapidly Diagnosis and Application System of Fusarium Head Blight Based on Smartphone.
Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

2018
Registration for Optical Multimodal Remote Sensing Images Based on FAST Detection, Window Selection, and Histogram Specification.
Remote. Sens., 2018

Investigation of Natural Ecological Enviroment Using Remote Sensing Based Integrated Index at a City Scale.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Growth Monitoring of Weak Gluten Wheat Using Visible and Multispectral UAV Imagery.
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018

2017
Crop Classification and LAI Estimation Using Original and Resolution-Reduced Images from Two Consumer-Grade Cameras.
Remote. Sens., 2017

Monitoring of powdery mildew on Winter wheat using multi-temporal HJ-CCD imagery on a regional scale.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Developing a small UAV platform to detect sheath blight of rice.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Evaluation of an Airborne Remote Sensing Platform Consisting of Two Consumer-Grade Cameras for Crop Identification.
Remote. Sens., 2016

Fusion and assessment of high-resolution WorldView-3 satellite imagery using NNDiffuse and Brovey algotirhms.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Identification of Eggplant Young Seedlings Infected by Root Knot Nematodes Using Near Infrared Spectroscopy.
Proceedings of the Computer and Computing Technologies in Agriculture X, 2016

A Comparison of Four Global Land Cover Maps on a Provincial Scale Based on China's 30 m GlobeLand30.
Proceedings of the Geo-Spatial Knowledge and Intelligence, 2016

2015
Extracting Tempo-Spatial Features of Paddy Rice Using Time-Series MOD09A1-A Case Study in Hunan, China.
Proceedings of the Geo-Informatics in Resource Management and Sustainable Ecosystem, 2015

2014
Leaf Area Index Estimation Using Vegetation Indices Derived From Airborne Hyperspectral Images in Winter Wheat.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

New Optimized Spectral Indices for Identifying and Monitoring Winter Wheat Diseases.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

2013
Estimation of leaf area index by using multi-angular hyperspectral imaging data based on The two-layer canopy reflectance model.
Intell. Autom. Soft Comput., 2013

Characterization of powdery mildew in winter wheat using multi-angular hyperspectral measurements.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

A Multi-channel and Real-Time Disaster Recovery Backup Method Based on P2P Streaming.
Proceedings of the 2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies, 2013

2012
Research Vertical Distribution of Chlorophyll Content of Wheat Leaves Using Imaging Hyperspectra.
Intell. Autom. Soft Comput., 2012

2011
Integrating Landsat TM Imagery and See5 Decision-Tree Software for Identifying Croplands: A Case Study in Shunyi District, Beijing.
Proceedings of the Web Information Systems and Mining - International Conference, 2011

Identifying Leaf-Scale Wheat Aphids Using the Near-Ground Hyperspectral Pushbroom Imaging Spectrometer.
Proceedings of the Computer and Computing Technologies in Agriculture V, 2011

Application and Evaluation of Wavelet-Based Denoising Method in Hyperspectral Imagery Data.
Proceedings of the Computer and Computing Technologies in Agriculture V, 2011

2010
Depth Balancing and Multipath Transmission Algorithms for P2P Streaming Media Using PeerCast.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2010


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