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Yong He 0001
Person information
- affiliation: Zhejiang University, College of Biosystems Engineering and Food Science, Hangzhou, China
Other persons with the same name
- Yong He — disambiguation page
- Yong He 0002
— Beijing Normal University, State Key Lab of Cognitive Neuroscience & Learning, Beijing, China
- Yong He 0003
- Yong He 0004
- Yong He 0005
- Yong He 0006
- Yong He 0007 — Sichuan Research Institute for Ecosystem Restoration & Geohazard Prevention, Chengdu, China
- Yong He 0008
- Yong He 0009
- Yong He 0010
- Yong He 0011
- Yong He 0012
- Yong He 0013 — Carnegie Mellon University, Pittsburgh, PA, USA
- Yong He 0014 — Zhejiang University, Department of Mathematics, State Key Lab of CAD & CG, Hangzhou, China
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2020 – today
- 2024
- [j112]Rui Yang, Yong He, Xiangyu Lu, Yiying Zhao, Yanmei Li, Yinhui Yang, Wenwen Kong, Fei Liu:
3D-based precise evaluation pipeline for maize ear rot using multi-view stereo reconstruction and point cloud semantic segmentation. Comput. Electron. Agric. 216: 108512 (2024) - [j111]Xusheng Ji, Zhenjiang Zhou
A novel labor-free method for isolating crop leaf pixels from RGB imagery: Generating labels via a topological strategy. Comput. Electron. Agric. 218: 108631 (2024) - [j110]Lei Feng, Sishi Chen, Baohua Wu, Yufei Liu, Wentan Tang, Fei Liu, Yong He, Chu Zhang
Detection of oilseed rape clubroot based on low-field nuclear magnetic resonance imaging. Comput. Electron. Agric. 218: 108687 (2024) - [j109]Xiya Zhang, Xiangyu Lu, Zeqing Zhang, Guofeng Yang
Simultaneous detection of reference lines in paddy fields using a machine vision-based framework. Comput. Electron. Agric. 221: 108923 (2024) - [j108]Wentao Wu, Zeqing Zhang, Xiya Zhang, Yong He, Hui Fang
Application of visual inertia fusion technology in rice transplanter operation. Comput. Electron. Agric. 221: 108990 (2024) - [j107]Wenkai Zhang, Alireza Sanaeifar, Xusheng Ji, Xuelun Luo, Hongen Guo, Qinghai He, Ying Luo, Fuyin Huang, Peng Yan, Xiaoli Li
Data-driven optimization of nitrogen fertilization and quality sensing across tea bud varieties using near-infrared spectroscopy and deep learning. Comput. Electron. Agric. 222: 109071 (2024) - [j106]Ting Huang, Yongliang Bian, Ziang Niu, Mohamed Farag Taha, Yong He, Zhengjun Qiu:
Fast neural distance field-based three-dimensional reconstruction method for geometrical parameter extraction of walnut shell from multiview images. Comput. Electron. Agric. 224: 109189 (2024) - [j105]Mingwei Fang
Pest-ConFormer: A hybrid CNN-Transformer architecture for large-scale multi-class crop pest recognition. Expert Syst. Appl. 255: 124833 (2024) - [j104]Xiaoyue Du
Enhanced Leaf Area Index Estimation in Rice by Integrating UAV-Based Multi-Source Data. Remote. Sens. 16(7): 1138 (2024) - 2023
- [j103]Yue Yu, Yufei Liu, Jichun Wang, Noboru Noguchi, Yong He:
Obstacle avoidance method based on double DQN for agricultural robots. Comput. Electron. Agric. 204: 107546 (2023) - [j102]Ziang Niu, Huizhen Yang, Lei Zhou
Deep learning-based ranging error mitigation method for UWB localization system in greenhouse. Comput. Electron. Agric. 205: 107573 (2023) - [j101]Huanbo Yang, Yaohua Hu, Yubin Lan, Peng Zhang
A new alternative for assessing ridging information of potato plants based on an improved benchmark structure from motion. Comput. Electron. Agric. 213: 108220 (2023) - [j100]Rui Yang, Jun Zhou, Xiangyu Lu, Jianxun Shen, Huizhe Chen, Mengyuan Chen, Yong He, Fei Liu:
A robust rice yield estimation framework developed by grading modeling and normalized weight decision-making strategy using UAV imaging technology. Comput. Electron. Agric. 215: 108417 (2023) - [j99]Sashuang Sun, Lijun Zhu, Ning Liang, Yiyin He
Monitoring drought induced photosynthetic and fluorescent variations of potatoes by visible and thermal imaging analysis. Comput. Electron. Agric. 215: 108433 (2023) - [j98]Yanchao Zhang, Jiya Yu, Yang Chen, Won Suk Lee, Wen Yang, Wenbo Zhang, Yong He:
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. 215: 108445 (2023) - [j97]Sathian Dananjayan, Jiajun Zhuang, Yu Tang
Wireless sensor deployment scheme for cost-effective smart farming using the ABC-TEEM algorithm. Evol. Syst. 14(4): 567-579 (2023) - [j96]Haseeb Rehman Khan
Early Identification of Crop Type for Smallholder Farming Systems Using Deep Learning on Time-Series Sentinel-2 Imagery. Sensors 23(4): 1779 (2023) - 2022
- [j95]Sashuang Sun, Zhiyu Zuo, Wenjun Yue, Julien Morel
Estimation of biomass and nutritive value of grass and clover mixtures by analyzing spectral and crop height data using chemometric methods. Comput. Electron. Agric. 192: 106571 (2022) - [j94]Yanchao Zhang
Real-time strawberry detection using deep neural networks on embedded system (rtsd-net): An edge AI application. Comput. Electron. Agric. 192: 106586 (2022) - [j93]Yong He, Xiya Zhang, Zeqing Zhang, Hui Fang:
Automated detection of boundary line in paddy field using MobileV2-UNet and RANSAC. Comput. Electron. Agric. 194: 106697 (2022) - [j92]Yufei Liu, Jichun Wang, Yachao Shi, Zhenni He, Fei Liu, Wenwen Kong, Yong He:
Unmanned airboat technology and applications in environment and agriculture. Comput. Electron. Agric. 197: 106920 (2022) - [j91]Yanchao Zhang
Complete and accurate holly fruits counting using YOLOX object detection. Comput. Electron. Agric. 198: 107062 (2022) - [j90]Yaozong Zhu, Qiwei Guo, Yu Tang
CFD simulation and measurement of the downwash airflow of a quadrotor plant protection UAV during operation. Comput. Electron. Agric. 201: 107286 (2022) - [j89]Ning Liang, Sashuang Sun, Jiajia Yu, Mohamed Farag Taha
Novel segmentation method and measurement system for various grains with complex touching. Comput. Electron. Agric. 202: 107351 (2022) - [j88]Osama Elsherbiny
A novel hybrid deep network for diagnosing water status in wheat crop using IoT-based multimodal data. Comput. Electron. Agric. 203: 107453 (2022) - [j87]Jiangpeng Zhu, Guofeng Yang
Detecting Wheat Heads from UAV Low-Altitude Remote Sensing Images Using Deep Learning Based on Transformer. Remote. Sens. 14(20): 5141 (2022) - [c36]Guofeng Yang
Field Monitoring of Fractional Vegetation Cover Based on UAV Low-altitude Remote Sensing and Machine Learning. Agro-Geoinformatics 2022: 1-6 - 2021
- [j86]Huasheng Huang, Aqing Yang, Yu Tang
Deep color calibration for UAV imagery in crop monitoring using semantic style transfer with local to global attention. Int. J. Appl. Earth Obs. Geoinformation 104: 102590 (2021) - [j85]Yu Tang
A survey on the 5G network and its impact on agriculture: Challenges and opportunities. Comput. Electron. Agric. 180: 105895 (2021) - [j84]Lei Feng, Shuangshuang Chen, Chu Zhang, Yanchao Zhang
A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping. Comput. Electron. Agric. 182: 106033 (2021) - [j83]Yuzhen Wei, Yong He, Xiaoli Li
Tea moisture content detection with multispectral and depth images. Comput. Electron. Agric. 183: 106082 (2021) - [j82]Xiaoli Li
Boosting the generalization ability of Vis-NIR-spectroscopy-based regression models through dimension reduction and transfer learning. Comput. Electron. Agric. 186: 106157 (2021) - [j81]Liang Wan
Unmanned aerial vehicle-based field phenotyping of crop biomass using growth traits retrieved from PROSAIL model. Comput. Electron. Agric. 187: 106304 (2021) - [j80]Lehao Tan, Lei Zhou
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. 190: 106487 (2021) - [j79]Yue Yu, Yidan Bao, Jichun Wang, Hangjian Chu, Nan Zhao, Yong He
Crop Row Segmentation and Detection in Paddy Fields Based on Treble-Classification Otsu and Double-Dimensional Clustering Method. Remote. Sens. 13(5): 901 (2021) - [j78]Fa Zhao, Guijun Yang
Determination of Key Phenological Phases of Winter Wheat Based on the Time-Weighted Dynamic Time Warping Algorithm and MODIS Time-Series Data. Remote. Sens. 13(9): 1836 (2021) - [j77]Zhihong Ma
Optimization of 3D Point Clouds of Oilseed Rape Plants Based on Time-of-Flight Cameras. Sensors 21(2): 664 (2021) - [j76]Alwaseela Abdalla
Nutrient Status Diagnosis of Infield Oilseed Rape via Deep Learning-Enabled Dynamic Model. IEEE Trans. Ind. Informatics 17(6): 4379-4389 (2021) - 2020
- [j75]Yu Tang
Apple Bruise Grading Using Piecewise Nonlinear Curve Fitting for Hyperspectral Imaging Data. IEEE Access 8: 147494-147506 (2020) - [j74]Guofeng Yang
Self-Supervised Collaborative Multi-Network for Fine-Grained Visual Categorization of Tomato Diseases. IEEE Access 8: 211912-211923 (2020) - [j73]Qiwei Guo, Yaozong Zhu, Yu Tang
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. 172: 105343 (2020) - [j72]Nan Wang
Integrating Remote Sensing and Landscape Characteristics to Estimate Soil Salinity Using Machine Learning Methods: A Case Study from Southern Xinjiang, China. Remote. Sens. 12(24): 4118 (2020) - [j71]Tingting Shen, Chu Zhang
High-Throughput Screening of Free Proline Content in Rice Leaf under Cadmium Stress Using Hyperspectral Imaging with Chemometrics. Sensors 20(11): 3229 (2020) - [j70]Zhengjun Qiu, Nan Zhao, Lei Zhou
Vision-Based Moving Obstacle Detection and Tracking in Paddy Field Using Improved Yolov3 and Deep SORT. Sensors 20(15): 4082 (2020) - [j69]Qinlin Xiao, Xiulin Bai
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 20(17): 4940 (2020)
2010 – 2019
- 2019
- [j68]Lei Feng, Susu Zhu, Lei Zhou
Detection of Subtle Bruises on Winter Jujube Using Hyperspectral Imaging With Pixel-Wise Deep Learning Method. IEEE Access 7: 64494-64505 (2019) - [j67]Yanchao Zhang
Automated spectral feature extraction from hyperspectral images to differentiate weedy rice and barnyard grass from a rice crop. Comput. Electron. Agric. 159: 42-49 (2019) - [j66]Alwaseela Abdalla, Haiyan Cen, Ahmed El-manawy
Infield oilseed rape images segmentation via improved unsupervised learning models combined with supreme color features. Comput. Electron. Agric. 162: 1057-1068 (2019) - [j65]Alwaseela Abdalla, Haiyan Cen, Liang Wan
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. 167 (2019) - [j64]Yangyang Fan
Cost-sensitive stacked sparse auto-encoder models to detect striped stem borer infestation on rice based on hyperspectral imaging. Knowl. Based Syst. 168: 49-58 (2019) - [j63]Yong He
Application of Deep Learning in Integrated Pest Management: A Real-Time System for Detection and Diagnosis of Oilseed Rape Pests. Mob. Inf. Syst. 2019: 4570808:1-4570808:14 (2019) - [j62]Lei Feng, Weikang Wu, Junmin Wang, Chu Zhang
Wind Field Distribution of Multi-rotor UAV and Its Influence on Spectral Information Acquisition of Rice Canopies. Remote. Sens. 11(6): 602 (2019) - [j61]Yang Chen
Strawberry Yield Prediction Based on a Deep Neural Network Using High-Resolution Aerial Orthoimages. Remote. Sens. 11(13): 1584 (2019) - [j60]Alwaseela Abdalla
Color Calibration of Proximal Sensing RGB Images of Oilseed Rape Canopy via Deep Learning Combined with K-Means Algorithm. Remote. Sens. 11(24): 3001 (2019) - [j59]Zhengyan Xia
Rapid Determination of Chlorogenic Acid, Luteoloside and 3, 5-O-dicaffeoylquinic Acid in Chrysanthemum Using Near-Infrared Spectroscopy. Sensors 19(9): 1981 (2019) - [j58]Dawei Sun
Time-Series Chlorophyll Fluorescence Imaging Reveals Dynamic Photosynthetic Fingerprints of sos Mutants to Drought Stress. Sensors 19(12): 2649 (2019) - [j57]Jiajun Zhuang, Chaojun Hou, Yu Tang
Assessment of External Properties for Identifying Banana Fruit Maturity Stages Using Optical Imaging Techniques. Sensors 19(13): 2910 (2019) - [j56]Lei Feng, Susu Zhu, Shuangshuang Chen, Yidan Bao, Yong He
Combining Fourier Transform Mid-Infrared Spectroscopy with Chemometric Methods to Detect Adulterations in Milk Powder. Sensors 19(13): 2934 (2019) - [j55]Susu Zhu, Lei Zhou
Identification of Soybean Varieties Using Hyperspectral Imaging Coupled with Convolutional Neural Network. Sensors 19(19): 4065 (2019) - [j54]Qiwei Guo, Yayong Chen, Yu Tang
Lychee Fruit Detection Based on Monocular Machine Vision in Orchard Environment. Sensors 19(19): 4091 (2019) - [j53]Hui Fang, Hai Chen, Hao Jiang, Yu Wang, Yufei Liu, Fei Liu, Yong He:
Research on Method of Farmland Obstacle Boundary Extraction in UAV Remote Sensing Images. Sensors 19(20): 4431 (2019) - [j52]Yayong Chen, Chaojun Hou, Yu Tang
Citrus Tree Segmentation from UAV Images Based on Monocular Machine Vision in a Natural Orchard Environment. Sensors 19(24): 5558 (2019) - 2018
- [j51]Junfeng Gao
Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery. Int. J. Appl. Earth Obs. Geoinformation 67: 43-53 (2018) - [j50]Yanchao Zhang
Near ground platform development to simulate UAV aerial spraying and its spraying test under different conditions. Comput. Electron. Agric. 148: 8-18 (2018) - [j49]Jiajun Zhuang, Shaoming Luo, Chaojun Hou, Yu Tang
Detection of orchard citrus fruits using a monocular machine vision-based method for automatic fruit picking applications. Comput. Electron. Agric. 152: 64-73 (2018) - [j48]Tao Wang, Jian Chen, Yangyang Fan, Zhengjun Qiu, Yong He:
SeeFruits: Design and evaluation of a cloud-based ultra-portable NIRS system for sweet cherry quality detection. Comput. Electron. Agric. 152: 302-313 (2018) - [j47]Liang Wan
Combining UAV-Based Vegetation Indices and Image Classification to Estimate Flower Number in Oilseed Rape. Remote. Sens. 10(9): 1484 (2018) - [j46]Chu Zhang
Identification of Coffee Varieties Using Laser-Induced Breakdown Spectroscopy and Chemometrics. Sensors 18(1): 95 (2018) - [j45]Wenwen Kong
Application of Hyperspectral Imaging to Detect Sclerotinia sclerotiorum on Oilseed Rape Stems. Sensors 18(1): 123 (2018) - [j44]Pengcheng Nie, Tao Dong
Research on the Effects of Drying Temperature on Nitrogen Detection of Different Soil Types by Near Infrared Sensors. Sensors 18(2): 391 (2018) - [j43]Shupei Xiao, Yong He
Spectral Analysis and Sensitive Waveband Determination Based on Nitrogen Detection of Different Soil Types Using Near Infrared Sensors. Sensors 18(2): 523 (2018) - [j42]Jiyu Peng
Comparative Study of the Detection of Chromium Content in Rice Leaves by 532 nm and 1064 nm Laser-Induced Breakdown Spectroscopy. Sensors 18(2): 621 (2018) - [j41]Fei Liu
Fast Detection of Copper Content in Rice by Laser-Induced Breakdown Spectroscopy with Uni- and Multivariate Analysis. Sensors 18(3): 705 (2018) - [j40]Lei Lin, Tao Dong
Rapid Determination of Thiabendazole Pesticides in Rape by Surface Enhanced Raman Spectroscopy. Sensors 18(4): 1082 (2018) - [j39]Bingquan Chu, Keqiang Yu, Yanru Zhao, Yong He
Development of Noninvasive Classification Methods for Different Roasting Degrees of Coffee Beans Using Hyperspectral Imaging. Sensors 18(4): 1259 (2018) - [j38]Yong He
Quantitative Analysis of Nutrient Elements in Soil Using Single and Double-Pulse Laser-Induced Breakdown Spectroscopy. Sensors 18(5): 1526 (2018) - [j37]Wenwen Kong
Detection of Sclerotinia Stem Rot on Oilseed Rape (Brassica napus L.) Leaves Using Hyperspectral Imaging. Sensors 18(6): 1764 (2018) - [j36]Lei Feng, Susu Zhu, Fucheng Lin, Zhenzhu Su, Kangpei Yuan, Yiying Zhao
Detection of Oil Chestnuts Infected by Blue Mold Using Near-Infrared Hyperspectral Imaging Combined with Artificial Neural Networks. Sensors 18(6): 1944 (2018) - [j35]Ai-min Miao
Hyperspectral Image-Based Variety Classification of Waxy Maize Seeds by the t-SNE Model and Procrustes Analysis. Sensors 18(12): 4391 (2018) - [j34]Feng Cao, Fei Liu
Fast Detection of Sclerotinia Sclerotiorum on Oilseed Rape Leaves Using Low-Altitude Remote Sensing Technology. Sensors 18(12): 4464 (2018) - 2017
- [j33]Chuanqi Xie, Ce Yang, Yong He:
Hyperspectral imaging for classification of healthy and gray mold diseased tomato leaves with different infection severities. Comput. Electron. Agric. 135: 154-162 (2017) - [j32]Pengcheng Nie, Tao Dong
Detection of Soil Nitrogen Using Near Infrared Sensors Based on Soil Pretreatment and Algorithms. Sensors 17(5): 1102 (2017) - [j31]Aiping Gong, Susu Zhu, Yong He
Grading of Chinese Cantonese Sausage Using Hyperspectral Imaging Combined with Chemometric Methods. Sensors 17(8): 1706 (2017) - [j30]Xuping Feng
Discrimination of Transgenic Maize Kernel Using NIR Hyperspectral Imaging and Multivariate Data Analysis. Sensors 17(8): 1894 (2017) - [j29]Yong He
Research on the Optimum Water Content of Detecting Soil Nitrogen Using Near Infrared Sensor. Sensors 17(9): 2045 (2017) - [j28]Yangyang Fan
Fast Detection of Striped Stem-Borer (Chilo suppressalis Walker) Infested Rice Seedling Based on Visible/Near-Infrared Hyperspectral Imaging System. Sensors 17(11): 2470 (2017) - [j27]Pengcheng Nie, Fangfang Qu, Lei Lin, Tao Dong, Yong He
Detection of Water Content in Rapeseed Leaves Using Terahertz Spectroscopy. Sensors 17(12): 2830 (2017) - 2016
- [j26]Yifei Xu, ShuiGuang Deng
A sparse unmixing model based on NMF and its application in Raman image. Neurocomputing 207: 120-130 (2016) - [j25]Chu Zhang
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 16(2): 244 (2016) - [j24]Yanchao Zhang
Development of a Near Ground Remote Sensing System. Sensors 16(5): 648 (2016) - [j23]Chuanqi Xie
Spectrum and Image Texture Features Analysis for Early Blight Disease Detection on Eggplant Leaves. Sensors 16(5): 676 (2016) - 2015
- [j22]Xiaoli Li
Determination of tea polyphenols content by infrared spectroscopy coupled with iPLS and random frog techniques. Comput. Electron. Agric. 112: 28-35 (2015) - [j21]Yongni Shao, Jian Pan, Chang Zhang, Lulu Jiang, Yong He:
Detection in situ of carotenoid in microalgae by transmission spectroscopy. Comput. Electron. Agric. 112: 121-127 (2015) - [j20]ShuiGuang Deng
Moisture content prediction in tealeaf with near infrared hyperspectral imaging. Comput. Electron. Agric. 118: 38-46 (2015) - [j19]Yongming Chen, Ping Lin, Yong He
A new method for perceiving origins of international important Ramsar wetland ecological habitat scenes in China. Comput. Electron. Agric. 118: 237-246 (2015) - [j18]ShuiGuang Deng
An infinite Gaussian mixture model with its application in hyperspectral unmixing. Expert Syst. Appl. 42(4): 1987-1997 (2015) - [j17]Chuanqi Xie, Hailong Wang, Yongni Shao, Yong He:
Different Algorithms for Detection of Malondialdehyde Content in Eggplant Leaves Stressed by Grey Mold Based on Hyperspectral Imaging Technique. Intell. Autom. Soft Comput. 21(3): 395-407 (2015) - [j16]ShuiGuang Deng
A hyperspectral image classification framework and its application. Inf. Sci. 299: 379-393 (2015) - [j15]Hailong Wang, Jiyu Peng
Fruit Quality Evaluation Using Spectroscopy Technology: A Review. Sensors 15(5): 11889-11927 (2015) - [j14]Chu Zhang
Application of Visible and Near-Infrared Hyperspectral Imaging to Determine Soluble Protein Content in Oilseed Rape Leaves. Sensors 15(7): 16576-16588 (2015) - 2013
- [j13]Yongni Shao, Yong He
Visible/Near Infrared Spectroscopy and Chemometrics for the Prediction of Trace Element (Fe and Zn) Levels in Rice Leaf. Sensors 13(2): 1872-1883 (2013) - [j12]Wenwen Kong
Rice Seed Cultivar Identification Using Near-Infrared Hyperspectral Imaging and Multivariate Data Analysis. Sensors 13(7): 8916-8927 (2013) - [j11]Pengcheng Nie, Zhengyan Xia, Da-Wen Sun
Application of Visible and Near Infrared Spectroscopy for Rapid Analysis of Chrysin and Galangin in Chinese Propolis. Sensors 13(8): 10539-10549 (2013) - [j10]Pengcheng Nie, Di Wu
Potential of Visible and Near Infrared Spectroscopy and Pattern Recognition for Rapid Quantification of Notoginseng Powder with Adulterants. Sensors 13(10): 13820-13834 (2013) - [j9]Yaohua Hu, Cong Liu, Qian Hao, Qiang Zhang, Yong He
Building Kinetic Models for Determining Vitamin C Content in Fresh Jujube and Predicting Its Shelf Life Based on Near-Infrared Spectroscopy. Sensors 13(11): 15673-15681 (2013) - 2012
- [j8]Ruizhen Han, Yong He
Feasibility Study on a Portable Field Pest Classification System Design Based on DSP and 3G Wireless Communication Technology. Sensors 12(3): 3118-3130 (2012) - [j7]Lulu Jiang, Fei Liu
A Non-Destructive Distinctive Method for Discrimination of Automobile Lubricant Variety by Visible and Short-Wave Infrared Spectroscopy. Sensors 12(3): 3498-3511 (2012) - [j6]Xiaoli Li
Characterizing the Moisture Content of Tea with Diffuse Reflectance Spectroscopy Using Wavelet Transform and Multivariate Analysis. Sensors 12(7): 9847-9861 (2012) - [j5]Wenwen Kong
Fast Analysis of Superoxide Dismutase (SOD) Activity in Barley Leaves Using Visible and Near Infrared Spectroscopy. Sensors 12(8): 10871-10880 (2012) - [j4]Yidan Bao, Wenwen Kong
Quantitative Analysis of Total Amino Acid in Barley Leaves under Herbicide Stress Using Spectroscopic Technology and Chemometrics. Sensors 12(10): 13393-13401 (2012) - [j3]Xiaolei Zhang, Fei Liu
Application of Hyperspectral Imaging and Chemometric Calibrations for Variety Discrimination of Maize Seeds. Sensors 12(12): 17234-17246 (2012) - 2011
- [j2]Fei Liu
Nondestructive determination of nutritional information in oilseed rape leaves using visible/near infrared spectroscopy and multivariate calibrations. Sci. China Inf. Sci. 54(3): 598-608 (2011) - [j1]Xiaoli Li
Using wavelet transform and multi-class least square support vector machine in multi-spectral imaging classification of Chinese famous tea. Expert Syst. Appl. 38(9): 11149-11159 (2011) - [c35]Dengsheng Zhu, Fei Liu, Yongni Shao, Yong He:
Application of SPAD and Vis/NIR Spectroscopy to Estimation Nitrogen Status of Oilseed Rape Plant. CSEE (2) 2011: 341-347 - [c34]Wei Zhang, Yong He, Fei Liu
Research on WSN Channel Fading Model and Experimental Analysis in Orchard Environment. CCTA (2) 2011: 326-333 - 2010
- [c33]Qiang Zou, Hui Fang, Fei Liu, Wenwen Kong
Comparative Study of Distance Discriminant Analysis and Bp Neural Network for Identification of Rapeseed Cultivars Using Visible/Near Infrared Spectra. CCTA (4) 2010: 124-133 - [c32]Yan Yang
A Method of Honey Plant Classification Based on IR Spectrum: Extract Feature Wavelength Using Genetic Algorithm and Classify Using Linear Discriminate Analysis. IITSI 2010: 241-245 - [c31]Derong Zhang, Yong He
A new method and instrument for measurement of plant leaf area. ISKE 2010: 601-604
2000 – 2009
- 2009
- [c30]Di Wu, Tianyun Ma, Pengcheng Nie, Zhiping Wang, Zhengjun Qiu, Yong He:
Use of In-Situ Visible and Near-Infrared Spectroscopy for Non-invasive Discrimination of Spirulina Platensis. CIS (1) 2009: 330-334 - [c29]Fei Liu, Fan Zhang, Hui Fang, Weijun Zhou, Yong He:
Determination of Total Amino Acids in Oilseed Rape Leaves Using Near Infrared Spectroscopy and Chemometrics. CSIE (7) 2009: 10-13 - [c28]Xiaoqing Fan, Haiqing Yang, Yong He
Prototype Design of Variety Discriminator of Farm Products Based on Multi-color LEDs and BP-ANN. CSIE (6) 2009: 76-79 - [c27]Zunyi Wang, Fei Liu, Yong He:
Comparison and Determination of Acetic Acid of Plum Vinegar Using Visible/Near Infrared Spectroscopy and Multivariate Calibration. CSIE (7) 2009: 201-204 - [c26]Fei Liu, Guangming Sun, Yong He:
Determination of Protein Content of Auricularia Auricula Using Spectroscopy and Least Squares-Support Vector Machine. ICNC (1) 2009: 124-128 - [c25]Chunhua Jin, Min Huang, Fei Liu, Yong He, Xiaoli Li
Estimating Nitrogen Status of Plant by Vis/NIR Spectroscopy and Mathematical Model. ICNC (3) 2009: 612-616 - [c24]Chunhua Jin, Haiyan Cen, Fei Liu, Yong He:
Study on an Advanced Treatment of Domestic Wastewater by Bio-filtration and Water-Quality Measurement System. ICNC (3) 2009: 644-648 - 2008
- [c23]Xiaojing Chen, Xiaomin Yu, Di Wu, Yong He:
Application of Least-Square Support Vector Machines in Qualitative Analysis of Visible and Near Infrared Spectra: Determination of Species and Producing Area of Panax. ICNC (3) 2008: 107-111 - [c22]Fei Liu, Hui Fang, Yong He, Fan Zhang, Zonglai Jin, Weijun Zhou:
Detection of Protein Content of Oilseed Rape Leaves Using Visible/Near-Infrared Spectroscopy and Multivariate Calibrations. ICNC (3) 2008: 160-164 - [c21]Fei Liu, Li Wang, Yong He:
Determination of Tartaric Acid of Fruit Vinegars Using Near Infrared Spectroscopy and Chemometrics. ICNC (3) 2008: 165-169 - [c20]Jiajia Yu, Yong He:
Fast Measurement of Soluble Solid Content in Mango Based on Visible and Infrared Spectroscopy Technique. CCTA (1) 2008: 89-95 - [c19]Zengfang Li, Jiajia Yu, Yong He:
Use of Nir Spectroscopy and Ls-Svm Model for the Discrimination of Varieties of Soil. CCTA (1) 2008: 97-105 - [c18]Fei Liu, Li Wang, Yong He:
Application of least squares support vector machines for discrimination of red wine using visible and near infrared spectroscopy. ISKE 2008: 1002-1006 - 2007
- [c17]Fei Liu, Yong He, Li Wang:
Application of Least Squares-Support Vector Machine for Measurement of Soluble Solids Content of Rice Vinegars Using Vis/NIR Spectroscopy. CIS 2007: 1044-1047 - [c16]Xiaoli Li, Fang Cao, Yong He:
Application of Hybrid Pattern Recognition for Discriminating Paddy Seeds of Different Storage Periods Based on Vis/NIRS. PAKDD 2007: 989-996 - 2006
- [c15]Xiaoli Li
A Novel Approach to Pattern Recognition Based on PCA-ANN in Spectroscopy. ADMA 2006: 525-532 - [c14]Haiyan Cen, Yidan Bao, Min Huang, Yong He:
Comparison of Data Pre-processing in Pattern Recognition of Milk Powder Vis/NIR Spectra. ADMA 2006: 1000-1007 - [c13]Zhengjun Qiu, Jingyuan Mao, Yong He:
The Design of Field Information Detection System Based on Microcomputer. CASE 2006: 156-160 - [c12]Yongni Shao, Yong He, Jingyuan Mao:
Quantitative Analysis Using NIR by Building Principal Component- Multiple Linear Regression-BP Algorithm. CASE 2006: 161-164 - [c11]Di Wu, Yong He, Yidan Bao:
Fast Discrimination of Juicy Peach Varieties by Vis/NIR Spectroscopy Based on Bayesian-SDA and PCA. ICIC (1) 2006: 931-936 - [c10]Di Wu
BP Neural Networks Combined with PLS Applied to Pattern Recognition of Vis/NIRs. IDEAL 2006: 428-435 - [c9]Lingxia Huang, Peihua Jin, Yong He, Chengfu Lou, Min Huang, Mingang Chen:
Prediction of Silkworm Cocoon Yield in China Based on Grey-Markov Forecasting Model. MICAI 2006: 505-512 - [c8]Di Wu, Lei Feng, Yong He:
Selection of the Optimal Wavebands for the Variety Discrimination of Chinese Cabbage Seed. MICAI 2006: 612-621 - [c7]Haiyan Cen, Yidan Bao, Min Huang, Yong He:
Time Series Analysis of Grey Forecasting Based on Wavelet Transform and Its Prediction Applications. SSPR/SPR 2006: 349-357 - 2005
- [c6]Yong He, Xiaoli Li
Quantitative Analysis of the Varieties of Apple Using Near Infrared Spectroscopy by Principal Component Analysis and BP Model. Australian Conference on Artificial Intelligence 2005: 1053-1056 - [c5]Yong He, Haiyan Song, Annia García Pereira, Antihus Hernández Gómez:
A New Approach to Predict N, P, K and OM Content in a Loamy Mixed Soil by Using Near Infrared Reflectance Spectroscopy. ICIC (1) 2005: 859-867 - [c4]Lei Feng, Yong He, Qin Zhang:
Tractor-Implement Dynamic Trajectory Model for Automated Navigation Applications. ICITA (1) 2005: 330-335 - [c3]Yong He, Haihong Yu, Zhengjun Qiu:
Study on Farm Information Acquisition by Using Wireless Remote Methods and Treatment Systems. ICITA (1) 2005: 526-530 - [c2]Yong He, Min Huang:
A Grey-Markov Forecasting Model for the Electric Power Requirement in China. MICAI 2005: 574-582 - [c1]Yong He, Yun Zhang, Liguo Xiang:
Study of Application Model on BP Neural Network Optimized by Fuzzy Clustering. MICAI 2005: 712-720
Coauthor Index
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