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ORCIDYong 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
![[0000-0002-7039-2850]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7039-2850")
— Beijing Normal University, State Key Lab of Cognitive Neuroscience & Learning, Beijing, China - Yong He 0003 — China University of Geosciences, School of Automation, Wuhan, China (and 1 more)
- Yong He 0004 — Southeast University, School of Economics and Management, Nanjing, China
- Yong He 0005 — Zhejiang University, College of Mechanical Engineering, China
- Yong He 0006 — Chongqing University of Science and Technology, Department of Mathematics and Physics, China
- Yong He 0007 — Sichuan Research Institute for Ecosystem Restoration & Geohazard Prevention, Chengdu, China
- Yong He 0008 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Shenzhen, China (and 1 more)
- Yong He 0009 — Ant Group, Hangzhou, China
- Yong He 0010 — China Agricultural University, Beijing, China (and 1 more)
- Yong He 0011 — Southeast University, School of Transportation, Nanjing, China
- Yong He 0012 — Hunan University, College of Electrical and Information Engineering, Changsha, China
- 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, Mostafa Gouda, Wenkai Zhang, Yong He, Gongyin Ye, Xiaoli Li:
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, Yong He, Hui Fang:
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, Yong He:
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, Zhiping Tan, Yu Tang, Weizhao Chen, Huasheng Huang, Sathian Dananjayan, Yong He, Shaoming Luo:
Pest-ConFormer: A hybrid CNN-Transformer architecture for large-scale multi-class crop pest recognition. Expert Syst. Appl. 255: 124833 (2024) - [j104]Xiaoyue Du, Liyuan Zheng, Jiangpeng Zhu, Yong He:
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, Mohamed Farag Taha, Yong He, Zhengjun Qiu:
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, Yong He, Zhenjiang Zhou, Jun Chen:
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, Zhao Wang, Si Chen, Jiangang Liu, Haiyan Cen, Yong He, Zhenjiang Zhou:
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, Yong He, Chaojun Hou, Shaoming Luo:
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, Zeeshan Gillani, Muhammad Hasan Jamal, Atifa Athar, Muhammad Tayyab Chaudhry, Haoyu Chao, Yong He, Ming Chen:
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, David Parsons, Jian Liu, Junxiang Peng, Haiyan Cen, Yong He, Jiang Shi, Xiaolong Li, Zhenjiang Zhou:
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, Jiya Yu, Yang Chen, Wen Yang, Wenbo Zhang, Yong He:
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, Wenbo Zhang, Jiya Yu, Leiying He, Jianneng Chen, Yong He:
Complete and accurate holly fruits counting using YOLOX object detection. Comput. Electron. Agric. 198: 107062 (2022) - [j90]Yaozong Zhu, Qiwei Guo, Yu Tang, Xing Zhu, Yong He, Huasheng Huang, Shaoming Luo:
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, Yong He, Zhengjun Qiu:
Novel segmentation method and measurement system for various grains with complex touching. Comput. Electron. Agric. 202: 107351 (2022) - [j88]Osama Elsherbiny, Lei Zhou, Yong He, Zhengjun Qiu:
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, Xuping Feng, Xiyao Li, Hui Fang, Jinnuo Zhang, Xiulin Bai, Mingzhu Tao, Yong He:
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, Yong He, Zhenjiang Zhou, Li Huang, Xiyao Li, Zeyu Yu, Yong Yang, Yu Li, Lingzhen Ye, Xuping Feng:
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, Jiajun Zhuang, Chaojun Hou, Zhiping Tan, Sathian Dananjayan, Yong He, Qiwei Guo, Shaoming Luo:
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, Sathian Dananjayan, Chaojun Hou, Qiwei Guo, Shaoming Luo, Yong He:
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, Yong He:
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, Zexi Li, Xufeng Yang, Yong He:
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, Jiafei Zhang, Xiaoya Dong, Xiaoyue Du, Jiangpeng Zhu, Dawei Sun, Yufei Liu, Yong He, Haiyan Cen:
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, Nan Zhao, Yong He, Zhengjun Qiu:
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, Yufei Liu:
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, Xiaodong Yang, Haiyan Cen, Yaohui Zhu, Shaoyu Han, Hao Yang, Yong He, Chunjiang Zhao:
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, Dawei Sun, Haixia Xu, Yueming Zhu, Yong He, Haiyan Cen:
Optimization of 3D Point Clouds of Oilseed Rape Plants Based on Time-of-Flight Cameras. Sensors 21(2): 664 (2021) - [j76]Alwaseela Abdalla, Haiyan Cen, Liang Wan, Khalid Mehmood, Yong He:
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, Shengjie Gao, Jiajun Zhuang, Chaojun Hou, Yong He, Xuan Chu, Ai-min Miao, Shaoming Luo:
Apple Bruise Grading Using Piecewise Nonlinear Curve Fitting for Hyperspectral Imaging Data. IEEE Access 8: 147494-147506 (2020) - [j74]Guofeng Yang, Guipeng Chen, Yong He, Zhiyan Yan, Yang Guo, Jian Ding:
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, Chaojun Hou, Yong He, Jiajun Zhuang, Youliang Zheng, Shaoming Luo:
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, Jie Xue, Jie Peng, Asim Biswas, Yong He, Zhou Shi:
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, Fei Liu, Wei Wang, Yi Lu, Rong-Qin Chen, Yong He:
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, Mengcen Wang, Liangliang Yang, Hui Fang, Yong He, Yufei Liu:
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, Pan Gao, Yong He:
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, Yiying Zhao, Yidan Bao, Chu Zhang, Yong He:
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, Junfeng Gao, Haiyan Cen, Yongliang Lu, Xiaoyue Yu, Yong He, Jan G. Pieters:
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, Yong He:
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, Reem Rashid, Haiyong Weng, Weijun Zhou, Yong He:
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, Chu Zhang, Ziyi Liu, Zhengjun Qiu, Yong He:
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, Hong Zeng, Yangyang Fan, Shuaisheng Ji, Jianjian Wu:
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, Yiying Zhao, Susu Zhu, Yong He:
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, Won Suk Lee, Hao Gan, Natalia Peres, Clyde W. Fraisse, Yanchao Zhang, Yong He:
Strawberry Yield Prediction Based on a Deep Neural Network Using High-Resolution Aerial Orthoimages. Remote. Sens. 11(13): 1584 (2019) - [j60]Alwaseela Abdalla, Haiyan Cen, Elfatih M. Abdel-Rahman, Liang Wan, Yong He:
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, Yiming Sun, Chengyong Cai, Yong He, Pengcheng Nie:
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, Yueming Zhu, Haixia Xu, Yong He, Haiyan Cen:
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, Yong He, Qiwei Guo, Ai-min Miao, Zhenyu Zhong, Shaoming Luo:
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, Chu Zhang, Yidan Bao, Baohua Wu, Hangjian Chu, Yue Yu, Yong He, Lei Feng:
Identification of Soybean Varieties Using Hyperspectral Imaging Coupled with Convolutional Neural Network. Sensors 19(19): 4065 (2019) - [j54]Qiwei Guo, Yayong Chen, Yu Tang, Jiajun Zhuang, Yong He, Chaojun Hou, Xuan Chu, Zhenyu Zhong, Shaoming Luo:
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, Jiajun Zhuang, Jintian Lin, Yong He, Qiwei Guo, Zhenyu Zhong, Huan Lei, Shaoming Luo:
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, Wenzhi Liao, David Nuyttens, Peter Lootens, Jürgen Vangeyte, Aleksandra Pizurica, Yong He, Jan G. Pieters:
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, Yijian Li, Yong He, Fei Liu, Haiyan Cen, Hui Fang:
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, Yong He, X. Y. Xue:
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, Yijian Li, Haiyan Cen, Jiangpeng Zhu, Wenxin Yin, Weikang Wu, Hongyan Zhu, Dawei Sun, Weijun Zhou, Yong He:
Combining UAV-Based Vegetation Indices and Image Classification to Estimate Flower Number in Oilseed Rape. Remote. Sens. 10(9): 1484 (2018) - [j46]Chu Zhang, Tingting Shen, Fei Liu, Yong He:
Identification of Coffee Varieties Using Laser-Induced Breakdown Spectroscopy and Chemometrics. Sensors 18(1): 95 (2018) - [j45]Wenwen Kong, Chu Zhang, Weihao Huang, Fei Liu, Yong He:
Application of Hyperspectral Imaging to Detect Sclerotinia sclerotiorum on Oilseed Rape Stems. Sensors 18(1): 123 (2018) - [j44]Pengcheng Nie, Tao Dong, Yong He, Shupei Xiao:
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, Tao Dong, Pengcheng Nie:
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, Fei Liu, Tingting Shen, Lanhan Ye, Wenwen Kong, Wei Wang, Xiaodan Liu, Yong He:
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, Lanhan Ye, Jiyu Peng, Kunlin Song, Tingting Shen, Chu Zhang, Yong He:
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, Pengcheng Nie, Fangfang Qu, Yong He, Bingquan Chu, Shupei Xiao:
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, Xiaodan Liu, Yangyang Lv, Fei Liu, Jiyu Peng, Tingting Shen, Yun Zhao, Yu Tang, Shaoming Luo:
Quantitative Analysis of Nutrient Elements in Soil Using Single and Double-Pulse Laser-Induced Breakdown Spectroscopy. Sensors 18(5): 1526 (2018) - [j37]Wenwen Kong, Chu Zhang, Feng Cao, Fei Liu, Shaoming Luo, Yu Tang, Yong He:
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, Yong He, Chu Zhang:
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, Jiajun Zhuang, Yu Tang, Yong He, Xuan Chu, Shaoming Luo:
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, Han Guo, Wenwen Kong, Chu Zhang, Yong He:
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, Yong He, Fangfang Qu:
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, Chu Zhang:
Grading of Chinese Cantonese Sausage Using Hyperspectral Imaging Combined with Chemometric Methods. Sensors 17(8): 1706 (2017) - [j30]Xuping Feng, Yiying Zhao, Chu Zhang, Peng Cheng, Yong He:
Discrimination of Transgenic Maize Kernel Using NIR Hyperspectral Imaging and Multivariate Data Analysis. Sensors 17(8): 1894 (2017) - [j29]Yong He, Shupei Xiao, Pengcheng Nie, Tao Dong, Fangfang Qu, Lei Lin:
Research on the Optimum Water Content of Detecting Soil Nitrogen Using Near Infrared Sensor. Sensors 17(9): 2045 (2017) - [j28]Yangyang Fan, Tao Wang, Zhengjun Qiu, Jiyu Peng, Chu Zhang, Yong He:
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, Yongni Shao, Yi Zhang:
Detection of Water Content in Rapeseed Leaves Using Terahertz Spectroscopy. Sensors 17(12): 2830 (2017) - 2016
- [j26]Yifei Xu, ShuiGuang Deng, Xiaoli Li, Yong He:
A sparse unmixing model based on NMF and its application in Raman image. Neurocomputing 207: 120-130 (2016) - [j25]Chu Zhang, Hui Ye, Fei Liu, Yong He, Wenwen Kong, Kuichuan Sheng:
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, Yuzhao Xiao, Zaichun Zhuang, Liping Zhou, Fei Liu, Yong He:
Development of a Near Ground Remote Sensing System. Sensors 16(5): 648 (2016) - [j23]Chuanqi Xie, Yong He:
Spectrum and Image Texture Features Analysis for Early Blight Disease Detection on Eggplant Leaves. Sensors 16(5): 676 (2016) - 2015
- [j22]Xiaoli Li, Chanjun Sun, Liubin Luo, Yong He:
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, Yifei Xu, Xiaoli Li, Yong He:
Moisture content prediction in tealeaf with near infrared hyperspectral imaging. Comput. Electron. Agric. 118: 38-46 (2015) - [j19]Yongming Chen, Ping Lin, Yong He, Jianqiang 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, Yifei Xu, Xiaoli Li, Yong He:
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, Yifei Xu, Yong He, Jianwei Yin, Zhaohui Wu:
A hyperspectral image classification framework and its application. Inf. Sci. 299: 379-393 (2015) - [j15]Hailong Wang, Jiyu Peng, Chuanqi Xie, Yidan Bao, Yong He:
Fruit Quality Evaluation Using Spectroscopy Technology: A Review. Sensors 15(5): 11889-11927 (2015) - [j14]Chu Zhang, Fei Liu, Wenwen Kong, Yong He:
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, Chu Zhang, Fei Liu, Pengcheng Nie, Yong He:
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, Yong He:
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, Da-Wen Sun, Fang Cao, Yidan Bao, Yong He:
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