Yong He

Orcid: 0000-0001-6752-1757

Affiliations:
  • Zhejiang University, College of Biosystems Engineering and Food Science, Hangzhou, China


According to our database1, Yong He authored at least 148 papers between 2005 and 2024.

Collaborative distances:

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Bibliography

2024
Enhanced Leaf Area Index Estimation in Rice by Integrating UAV-Based Multi-Source Data.
Remote. Sens., April, 2024

3D-based precise evaluation pipeline for maize ear rot using multi-view stereo reconstruction and point cloud semantic segmentation.
Comput. Electron. Agric., January, 2024

Pest-ConFormer: A hybrid CNN-Transformer architecture for large-scale multi-class crop pest recognition.
Expert Syst. Appl., 2024

Data-driven optimization of nitrogen fertilization and quality sensing across tea bud varieties using near-infrared spectroscopy and deep learning.
Comput. Electron. Agric., 2024

Simultaneous detection of reference lines in paddy fields using a machine vision-based framework.
Comput. Electron. Agric., 2024

Application of visual inertia fusion technology in rice transplanter operation.
Comput. Electron. Agric., 2024

A novel labor-free method for isolating crop leaf pixels from RGB imagery: Generating labels via a topological strategy.
Comput. Electron. Agric., 2024

Fast neural distance field-based three-dimensional reconstruction method for geometrical parameter extraction of walnut shell from multiview images.
Comput. Electron. Agric., 2024

Detection of oilseed rape clubroot based on low-field nuclear magnetic resonance imaging.
Comput. Electron. Agric., 2024

2023
Corrigendum to "Real-time strawberry detection using deep neural networks on embedded system (rtsd-net): An edge AI application" [Comput. Electron. Agric. 192 (2022) 106586].
Comput. Electron. Agric., December, 2023

A robust rice yield estimation framework developed by grading modeling and normalized weight decision-making strategy using UAV imaging technology.
Comput. Electron. Agric., December, 2023

Monitoring drought induced photosynthetic and fluorescent variations of potatoes by visible and thermal imaging analysis.
Comput. Electron. Agric., December, 2023

A new alternative for assessing ridging information of potato plants based on an improved benchmark structure from motion.
Comput. Electron. Agric., October, 2023

Wireless sensor deployment scheme for cost-effective smart farming using the ABC-TEEM algorithm.
Evol. Syst., August, 2023

Early Identification of Crop Type for Smallholder Farming Systems Using Deep Learning on Time-Series Sentinel-2 Imagery.
Sensors, February, 2023

Deep learning-based ranging error mitigation method for UWB localization system in greenhouse.
Comput. Electron. Agric., February, 2023

Obstacle avoidance method based on double DQN for agricultural robots.
Comput. Electron. Agric., 2023

2022
Detecting Wheat Heads from UAV Low-Altitude Remote Sensing Images Using Deep Learning Based on Transformer.
Remote. Sens., 2022

CFD simulation and measurement of the downwash airflow of a quadrotor plant protection UAV during operation.
Comput. Electron. Agric., 2022

Complete and accurate holly fruits counting using YOLOX object detection.
Comput. Electron. Agric., 2022

Real-time strawberry detection using deep neural networks on embedded system (rtsd-net): An edge AI application.
Comput. Electron. Agric., 2022

Estimation of biomass and nutritive value of grass and clover mixtures by analyzing spectral and crop height data using chemometric methods.
Comput. Electron. Agric., 2022

Unmanned airboat technology and applications in environment and agriculture.
Comput. Electron. Agric., 2022

Novel segmentation method and measurement system for various grains with complex touching.
Comput. Electron. Agric., 2022

Automated detection of boundary line in paddy field using MobileV2-UNet and RANSAC.
Comput. Electron. Agric., 2022

A novel hybrid deep network for diagnosing water status in wheat crop using IoT-based multimodal data.
Comput. Electron. Agric., 2022

Field Monitoring of Fractional Vegetation Cover Based on UAV Low-altitude Remote Sensing and Machine Learning.
Proceedings of the 10th International Conference on Agro-geoinformatics, 2022

2021
Nutrient Status Diagnosis of Infield Oilseed Rape via Deep Learning-Enabled Dynamic Model.
IEEE Trans. Ind. Informatics, 2021

Optimization of 3D Point Clouds of Oilseed Rape Plants Based on Time-of-Flight Cameras.
Sensors, 2021

Determination of Key Phenological Phases of Winter Wheat Based on the Time-Weighted Dynamic Time Warping Algorithm and MODIS Time-Series Data.
Remote. Sens., 2021

Crop Row Segmentation and Detection in Paddy Fields Based on Treble-Classification Otsu and Double-Dimensional Clustering Method.
Remote. Sens., 2021

Tea moisture content detection with multispectral and depth images.
Comput. Electron. Agric., 2021

Unmanned aerial vehicle-based field phenotyping of crop biomass using growth traits retrieved from PROSAIL model.
Comput. Electron. Agric., 2021

A survey on the 5G network and its impact on agriculture: Challenges and opportunities.
Comput. Electron. Agric., 2021

Development of a low-cost portable device for pixel-wise leaf SPAD estimation and blade-level SPAD distribution visualization using color sensing.
Comput. Electron. Agric., 2021

Boosting the generalization ability of Vis-NIR-spectroscopy-based regression models through dimension reduction and transfer learning.
Comput. Electron. Agric., 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

Deep color calibration for UAV imagery in crop monitoring using semantic style transfer with local to global attention.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
Application of Convolutional Neural Network-Based Feature Extraction and Data Fusion for Geographical Origin Identification of Radix Astragali by Visible/Short-Wave Near-Infrared and Near Infrared Hyperspectral Imaging.
Sensors, 2020

High-Throughput Screening of Free Proline Content in Rice Leaf under Cadmium Stress Using Hyperspectral Imaging with Chemometrics.
Sensors, 2020

Vision-Based Moving Obstacle Detection and Tracking in Paddy Field Using Improved Yolov3 and Deep SORT.
Sensors, 2020

Integrating Remote Sensing and Landscape Characteristics to Estimate Soil Salinity Using Machine Learning Methods: A Case Study from Southern Xinjiang, China.
Remote. Sens., 2020

CFD simulation and experimental verification of the spatial and temporal distributions of the downwash airflow of a quad-rotor agricultural UAV in hover.
Comput. Electron. Agric., 2020

Self-Supervised Collaborative Multi-Network for Fine-Grained Visual Categorization of Tomato Diseases.
IEEE Access, 2020

Apple Bruise Grading Using Piecewise Nonlinear Curve Fitting for Hyperspectral Imaging Data.
IEEE Access, 2020

2019
Assessment of External Properties for Identifying Banana Fruit Maturity Stages Using Optical Imaging Techniques.
Sensors, 2019

Identification of Soybean Varieties Using Hyperspectral Imaging Coupled with Convolutional Neural Network.
Sensors, 2019

Rapid Determination of Chlorogenic Acid, Luteoloside and 3, 5-O-dicaffeoylquinic Acid in Chrysanthemum Using Near-Infrared Spectroscopy.
Sensors, 2019

Time-Series Chlorophyll Fluorescence Imaging Reveals Dynamic Photosynthetic Fingerprints of <i>sos</i> Mutants to Drought Stress.
Sensors, 2019

Lychee Fruit Detection Based on Monocular Machine Vision in Orchard Environment.
Sensors, 2019

Combining Fourier Transform Mid-Infrared Spectroscopy with Chemometric Methods to Detect Adulterations in Milk Powder.
Sensors, 2019

Research on Method of Farmland Obstacle Boundary Extraction in UAV Remote Sensing Images.
Sensors, 2019

Citrus Tree Segmentation from UAV Images Based on Monocular Machine Vision in a Natural Orchard Environment.
Sensors, 2019

Wind Field Distribution of Multi-rotor UAV and Its Influence on Spectral Information Acquisition of Rice Canopies.
Remote. Sens., 2019

Strawberry Yield Prediction Based on a Deep Neural Network Using High-Resolution Aerial Orthoimages.
Remote. Sens., 2019

Color Calibration of Proximal Sensing RGB Images of Oilseed Rape Canopy via Deep Learning Combined with K-Means Algorithm.
Remote. Sens., 2019

Application of Deep Learning in Integrated Pest Management: A Real-Time System for Detection and Diagnosis of Oilseed Rape Pests.
Mob. Inf. Syst., 2019

Cost-sensitive stacked sparse auto-encoder models to detect striped stem borer infestation on rice based on hyperspectral imaging.
Knowl. Based Syst., 2019

Automated spectral feature extraction from hyperspectral images to differentiate weedy rice and barnyard grass from a rice crop.
Comput. Electron. Agric., 2019

Fine-tuning convolutional neural network with transfer learning for semantic segmentation of ground-level oilseed rape images in a field with high weed pressure.
Comput. Electron. Agric., 2019

Infield oilseed rape images segmentation via improved unsupervised learning models combined with supreme color features.
Comput. Electron. Agric., 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

Spectral Analysis and Sensitive Waveband Determination Based on Nitrogen Detection of Different Soil Types Using Near Infrared Sensors.
Sensors, 2018

Comparative Study of the Detection of Chromium Content in Rice Leaves by 532 nm and 1064 nm Laser-Induced Breakdown Spectroscopy.
Sensors, 2018

Research on the Effects of Drying Temperature on Nitrogen Detection of Different Soil Types by Near Infrared Sensors.
Sensors, 2018

Hyperspectral Image-Based Variety Classification of Waxy Maize Seeds by the t-SNE Model and Procrustes Analysis.
Sensors, 2018

Fast Detection of Copper Content in Rice by Laser-Induced Breakdown Spectroscopy with Uni- and Multivariate Analysis.
Sensors, 2018

Rapid Determination of Thiabendazole Pesticides in Rape by Surface Enhanced Raman Spectroscopy.
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

Development of Noninvasive Classification Methods for Different Roasting Degrees of Coffee Beans Using Hyperspectral Imaging.
Sensors, 2018

Fast Detection of <i>Sclerotinia Sclerotiorum</i> on Oilseed Rape Leaves Using Low-Altitude Remote Sensing Technology.
Sensors, 2018

Quantitative Analysis of Nutrient Elements in Soil Using Single and Double-Pulse Laser-Induced Breakdown Spectroscopy.
Sensors, 2018

Combining UAV-Based Vegetation Indices and Image Classification to Estimate Flower Number in Oilseed Rape.
Remote. Sens., 2018

Detection of orchard citrus fruits using a monocular machine vision-based method for automatic fruit picking applications.
Comput. Electron. Agric., 2018

Near ground platform development to simulate UAV aerial spraying and its spraying test under different conditions.
Comput. Electron. Agric., 2018

SeeFruits: Design and evaluation of a cloud-based ultra-portable NIRS system for sweet cherry quality detection.
Comput. Electron. Agric., 2018

Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2018

2017
Detection of Water Content in Rapeseed Leaves Using Terahertz Spectroscopy.
Sensors, 2017

Detection of Soil Nitrogen Using Near Infrared Sensors Based on Soil Pretreatment and Algorithms.
Sensors, 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

Research on the Optimum Water Content of Detecting Soil Nitrogen Using Near Infrared Sensor.
Sensors, 2017

Hyperspectral imaging for classification of healthy and gray mold diseased tomato leaves with different infection severities.
Comput. Electron. Agric., 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

Development of a Near Ground Remote Sensing System.
Sensors, 2016

Spectrum and Image Texture Features Analysis for Early Blight Disease Detection on Eggplant Leaves.
Sensors, 2016

A sparse unmixing model based on NMF and its application in Raman image.
Neurocomputing, 2016

2015
Application of Visible and Near-Infrared Hyperspectral Imaging to Determine Soluble Protein Content in Oilseed Rape Leaves.
Sensors, 2015

Fruit Quality Evaluation Using Spectroscopy Technology: A Review.
Sensors, 2015

A hyperspectral image classification framework and its application.
Inf. Sci., 2015

Different Algorithms for Detection of Malondialdehyde Content in Eggplant Leaves Stressed by Grey Mold Based on Hyperspectral Imaging Technique.
Intell. Autom. Soft Comput., 2015

An infinite Gaussian mixture model with its application in hyperspectral unmixing.
Expert Syst. Appl., 2015

Detection in situ of carotenoid in microalgae by transmission spectroscopy.
Comput. Electron. Agric., 2015

Determination of tea polyphenols content by infrared spectroscopy coupled with iPLS and random frog techniques.
Comput. Electron. Agric., 2015

Moisture content prediction in tealeaf with near infrared hyperspectral imaging.
Comput. Electron. Agric., 2015

A new method for perceiving origins of international important Ramsar wetland ecological habitat scenes in China.
Comput. Electron. Agric., 2015

2013
Visible/Near Infrared Spectroscopy and Chemometrics for the Prediction of Trace Element (Fe and Zn) Levels in Rice Leaf.
Sensors, 2013

Application of Visible and Near Infrared Spectroscopy for Rapid Analysis of Chrysin and Galangin in Chinese Propolis.
Sensors, 2013

Potential of Visible and Near Infrared Spectroscopy and Pattern Recognition for Rapid Quantification of Notoginseng Powder with Adulterants.
Sensors, 2013

Rice Seed Cultivar Identification Using Near-Infrared Hyperspectral Imaging and Multivariate Data Analysis.
Sensors, 2013

Building Kinetic Models for Determining Vitamin C Content in Fresh Jujube and Predicting Its Shelf Life Based on Near-Infrared Spectroscopy.
Sensors, 2013

2012
Application of Hyperspectral Imaging and Chemometric Calibrations for Variety Discrimination of Maize Seeds.
Sensors, 2012

Fast Analysis of Superoxide Dismutase (SOD) Activity in Barley Leaves Using Visible and Near Infrared Spectroscopy.
Sensors, 2012

A Non-Destructive Distinctive Method for Discrimination of Automobile Lubricant Variety by Visible and Short-Wave Infrared Spectroscopy.
Sensors, 2012

Feasibility Study on a Portable Field Pest Classification System Design Based on DSP and 3G Wireless Communication Technology.
Sensors, 2012

Quantitative Analysis of Total Amino Acid in Barley Leaves under Herbicide Stress Using Spectroscopic Technology and Chemometrics.
Sensors, 2012

Characterizing the Moisture Content of Tea with Diffuse Reflectance Spectroscopy Using Wavelet Transform and Multivariate Analysis.
Sensors, 2012

2011
Using wavelet transform and multi-class least square support vector machine in multi-spectral imaging classification of Chinese famous tea.
Expert Syst. Appl., 2011

Nondestructive determination of nutritional information in oilseed rape leaves using visible/near infrared spectroscopy and multivariate calibrations.
Sci. China Inf. Sci., 2011

Research on WSN Channel Fading Model and Experimental Analysis in Orchard Environment.
Proceedings of the Computer and Computing Technologies in Agriculture V, 2011

Application of SPAD and Vis/NIR Spectroscopy to Estimation Nitrogen Status of Oilseed Rape Plant.
Proceedings of the Advances in Computer Science, Environment, Ecoinformatics, and Education, 2011

2010
A new method and instrument for measurement of plant leaf area.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010

A Method of Honey Plant Classification Based on IR Spectrum: Extract Feature Wavelength Using Genetic Algorithm and Classify Using Linear Discriminate Analysis.
Proceedings of the Third International Symposium on Intelligent Information Technology and Security Informatics, 2010

Comparative Study of Distance Discriminant Analysis and Bp Neural Network for Identification of Rapeseed Cultivars Using Visible/Near Infrared Spectra.
Proceedings of the Computer and Computing Technologies in Agriculture IV, 2010

2009
Determination of Protein Content of Auricularia Auricula Using Spectroscopy and Least Squares-Support Vector Machine.
Proceedings of the Fifth International Conference on Natural Computation, 2009

Estimating Nitrogen Status of Plant by Vis/NIR Spectroscopy and Mathematical Model.
Proceedings of the Fifth International Conference on Natural Computation, 2009

Study on an Advanced Treatment of Domestic Wastewater by Bio-filtration and Water-Quality Measurement System.
Proceedings of the Fifth International Conference on Natural Computation, 2009

Comparison and Determination of Acetic Acid of Plum Vinegar Using Visible/Near Infrared Spectroscopy and Multivariate Calibration.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

Determination of Total Amino Acids in Oilseed Rape Leaves Using Near Infrared Spectroscopy and Chemometrics.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

Prototype Design of Variety Discriminator of Farm Products Based on Multi-color LEDs and BP-ANN.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

Use of In-Situ Visible and Near-Infrared Spectroscopy for Non-invasive Discrimination of Spirulina Platensis.
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009

2008
Application of least squares support vector machines for discrimination of red wine using visible and near infrared spectroscopy.
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008

Fast Measurement of Soluble Solid Content in Mango Based on Visible and Infrared Spectroscopy Technique.
Proceedings of the Computer and Computing Technologies in Agriculture II, Volume 1, 2008

Use of Nir Spectroscopy and Ls-Svm Model for the Discrimination of Varieties of Soil.
Proceedings of the Computer and Computing Technologies in Agriculture II, Volume 1, 2008

Determination of Tartaric Acid of Fruit Vinegars Using Near Infrared Spectroscopy and Chemometrics.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Detection of Protein Content of Oilseed Rape Leaves Using Visible/Near-Infrared Spectroscopy and Multivariate Calibrations.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Application of Least-Square Support Vector Machines in Qualitative Analysis of Visible and Near Infrared Spectra: Determination of Species and Producing Area of Panax.
Proceedings of the Fourth International Conference on Natural Computation, 2008

2007
Application of Hybrid Pattern Recognition for Discriminating Paddy Seeds of Different Storage Periods Based on Vis/NIRS.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Application of Least Squares-Support Vector Machine for Measurement of Soluble Solids Content of Rice Vinegars Using Vis/NIR Spectroscopy.
Proceedings of the Computational Intelligence and Security, International Conference, 2007

2006
Time Series Analysis of Grey Forecasting Based on Wavelet Transform and Its Prediction Applications.
Proceedings of the Structural, 2006

Selection of the Optimal Wavebands for the Variety Discrimination of Chinese Cabbage Seed.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

Prediction of Silkworm Cocoon Yield in China Based on Grey-Markov Forecasting Model.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

BP Neural Networks Combined with PLS Applied to Pattern Recognition of Vis/NIRs.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Fast Discrimination of Juicy Peach Varieties by Vis/NIR Spectroscopy Based on Bayesian-SDA and PCA.
Proceedings of the Intelligent Computing, 2006

Quantitative Analysis Using NIR by Building Principal Component- Multiple Linear Regression-BP Algorithm.
Proceedings of the 2006 IEEE International Conference on Automation Science and Engineering, 2006

The Design of Field Information Detection System Based on Microcomputer.
Proceedings of the 2006 IEEE International Conference on Automation Science and Engineering, 2006

A Novel Approach to Pattern Recognition Based on PCA-ANN in Spectroscopy.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

Comparison of Data Pre-processing in Pattern Recognition of Milk Powder Vis/NIR Spectra.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005
Study of Application Model on BP Neural Network Optimized by Fuzzy Clustering.
Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005

A Grey-Markov Forecasting Model for the Electric Power Requirement in China.
Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005

Study on Farm Information Acquisition by Using Wireless Remote Methods and Treatment Systems.
Proceedings of the Third International Conference on Information Technology and Applications (ICITA 2005), 2005

Tractor-Implement Dynamic Trajectory Model for Automated Navigation Applications.
Proceedings of the Third International Conference on Information Technology and Applications (ICITA 2005), 2005

A New Approach to Predict N, P, K and OM Content in a Loamy Mixed Soil by Using Near Infrared Reflectance Spectroscopy.
Proceedings of the Advances in Intelligent Computing, 2005

Quantitative Analysis of the Varieties of Apple Using Near Infrared Spectroscopy by Principal Component Analysis and BP Model.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005


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