| Unmanned aerial vehicle remote sensing for field-based crop phenotyping: current status and perspectives G Yang, J Liu, C Zhao, Z Li, Y Huang, H Yu, B Xu, X Yang, D Zhu, ... Frontiers in plant science 8, 1111, 2017 | 686 | 2017 |
| A review of data assimilation of remote sensing and crop models X Jin, L Kumar, Z Li, H Feng, X Xu, G Yang, J Wang European Journal of Agronomy 92, 141-152, 2018 | 441 | 2018 |
| Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data L Han, G Yang, H Dai, B Xu, H Yang, H Feng, Z Li, X Yang Plant methods 15 (1), 1-19, 2019 | 371 | 2019 |
| Estimation of winter wheat above-ground biomass using unmanned aerial vehicle-based snapshot hyperspectral sensor and crop height improved models J Yue, G Yang, C Li, Z Li, Y Wang, H Feng, B Xu Remote Sensing 9 (7), 708, 2017 | 342 | 2017 |
| Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices J Yue, G Yang, Q Tian, H Feng, K Xu, C Zhou ISPRS Journal of Photogrammetry and Remote Sensing 150, 226-244, 2019 | 291 | 2019 |
| Retrieving soybean leaf area index from unmanned aerial vehicle hyperspectral remote sensing: Analysis of RF, ANN, and SVM regression models H Yuan, G Yang, C Li, Y Wang, J Liu, H Yu, H Feng, B Xu, X Zhao, X Yang Remote Sensing 9 (4), 309, 2017 | 268 | 2017 |
| Winter wheat biomass estimation based on spectral indices, band depth analysis and partial least squares regression using hyperspectral measurements Y Fu, G Yang, J Wang, X Song, H Feng Computers and Electronics in Agriculture 100, 51-59, 2014 | 202 | 2014 |
| A comparison of regression techniques for estimation of above-ground winter wheat biomass using near-surface spectroscopy J Yue, H Feng, G Yang, Z Li Remote Sensing 10 (1), 66, 2018 | 166 | 2018 |
| A comparison of crop parameters estimation using images from UAV-mounted snapshot hyperspectral sensor and high-definition digital camera J Yue, H Feng, X Jin, H Yuan, Z Li, C Zhou, G Yang, Q Tian Remote Sensing 10 (7), 1138, 2018 | 155 | 2018 |
| Combined multi-temporal optical and radar parameters for estimating LAI and biomass in winter wheat using HJ and RADARSAR-2 data X Jin, G Yang, X Xu, H Yang, H Feng, Z Li, J Shen, C Zhao, Y Lan Remote Sensing 7 (10), 13251-13272, 2015 | 151 | 2015 |
| Winter wheat yield estimation based on multi-source medium resolution optical and radar imaging data and the AquaCrop model using the particle swarm optimization algorithm. JXL Jin XiuLiang, LZH Li ZhenHai, YGJ Yang GuiJun, YH Yang Hao, ... | 138* | 2017 |
| Winter wheat yield estimation based on multi-source medium resolution optical and radar imaging data and the AquaCrop model using the particle swarm optimization algorithm X Jin, Z Li, G Yang, H Yang, H Feng, X Xu, J Wang, X Li, J Luo ISPRS Journal of Photogrammetry and Remote Sensing 126, 24-37, 2017 | 138 | 2017 |
| Estimation of crop growth parameters using UAV-based hyperspectral remote sensing data H Tao, H Feng, L Xu, M Miao, H Long, J Yue, Z Li, G Yang, X Yang, L Fan Sensors 20 (5), 1296, 2020 | 133 | 2020 |
| Assessment of the aquacrop model for use in simulation of irrigated winter wheat canopy cover, biomass, and grain yield in the North China Plain. JXL Jin XiuLiang, FHK Feng HaiKuan, ZXK Zhu XinKai, LZH Li ZhenHai, ... | 114* | 2014 |
| Assessment of the AquaCrop model for use in simulation of irrigated winter wheat canopy cover, biomass, and grain yield in the North China Plain X Jin, H Feng, X Zhu, Z Li, S Song, X Song, G Yang, X Xu, W Guo PloS one 9 (1), e86938, 2014 | 114 | 2014 |
| Deep neural network algorithm for estimating maize biomass based on simulated Sentinel 2A vegetation indices and leaf area index. JXL Jin XiuLiang, LZH Li ZhenHai, FHK Feng HaiKuan, RZ Ren Zhi, ... | 112* | 2020 |
| Deep neural network algorithm for estimating maize biomass based on simulated Sentinel 2A vegetation indices and leaf area index X Jin, Z Li, H Feng, Z Ren, S Li The Crop Journal 8 (1), 87-97, 2020 | 112 | 2020 |
| Assessment of defoliation during the Dendrolimus tabulaeformis Tsai et Liu disaster outbreak using UAV-based hyperspectral images N Zhang, X Zhang, G Yang, C Zhu, L Huo, H Feng Remote Sensing of Environment 217, 323-339, 2018 | 98 | 2018 |
| Estimation of the yield and plant height of winter wheat using UAV-based hyperspectral images H Tao, H Feng, L Xu, M Miao, G Yang, X Yang, L Fan Sensors 20 (4), 1231, 2020 | 94 | 2020 |
| The DOM generation and precise radiometric calibration of a UAV-mounted miniature snapshot hyperspectral imager G Yang, C Li, Y Wang, H Yuan, H Feng, B Xu, X Yang Remote Sensing 9 (7), 642, 2017 | 88 | 2017 |
GUIJUN YANGThe National Engineering Research Center for Information Technology in Agriculture（(NERCITA)在 nercita.org.cn 的电子邮件经过验证
