| 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 | 386 | 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 | 349 | 2019 |
| 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 | 190 | 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 | 179 | 2018 |
| 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 | 163 | 2020 |
| Development of soil moisture indices from differences in water absorption between shortwave-infrared bands J Yue, J Tian, Q Tian, K Xu, N Xu ISPRS Journal of Photogrammetry and Remote Sensing 154, 216-230, 2019 | 115 | 2019 |
| Remote-sensing estimation of potato above-ground biomass based on spectral and spatial features extracted from high-definition digital camera images Y Liu, H Feng, J Yue, Z Li, G Yang, X Song, X Yang, Y Zhao Computers and Electronics in Agriculture 198, 107089, 2022 | 94 | 2022 |
| Wheat ears counting in field conditions based on multi-feature optimization and TWSVM C Zhou, D Liang, X Yang, H Yang, J Yue, G Yang Frontiers in plant science 9, 1024, 2018 | 87 | 2018 |
| Estimation of potato above-ground biomass based on unmanned aerial vehicle red-green-blue images with different texture features and crop height Y Liu, H Feng, J Yue, X Jin, Z Li, G Yang Frontiers in Plant Science 13, 938216, 2022 | 69 | 2022 |
| Automated counting of rice panicle by applying deep learning model to images from unmanned aerial vehicle platform C Zhou, H Ye, J Hu, X Shi, S Hua, J Yue, Z Xu, G Yang Sensors 19 (14), 3106, 2019 | 69 | 2019 |
| A novel greenhouse-based system for the detection and plumpness assessment of strawberry using an improved deep learning technique C Zhou, J Hu, Z Xu, J Yue, H Ye, G Yang Frontiers in plant science 11, 559, 2020 | 64 | 2020 |
| Estimating potato above-ground biomass by using integrated unmanned aerial system-based optical, structural, and textural canopy measurements Y Liu, H Feng, J Yue, Y Fan, M Bian, Y Ma, X Jin, X Song, G Yang Computers and Electronics in Agriculture 213, 108229, 2023 | 60 | 2023 |
| Using broadband crop residue angle index to estimate the fractional cover of vegetation, crop residue, and bare soil in cropland systems J Yue, Q Tian, X Dong, N Xu Remote Sensing of Environment 237, 111538, 2020 | 56 | 2020 |
| Mapping winter-wheat biomass and grain yield based on a crop model and UAV remote sensing J Yue, H Feng, Z Li, C Zhou, K Xu International Journal of Remote Sensing 42 (5), 1577-1601, 2021 | 55 | 2021 |
| Estimating vertically growing crop above-ground biomass based on UAV remote sensing J Yue, H Yang, G Yang, Y Fu, H Wang, C Zhou Computers and Electronics in Agriculture 205, 107627, 2023 | 53 | 2023 |
| Improved potato AGB estimates based on UAV RGB and hyperspectral images Y Liu, H Feng, J Yue, X Jin, Y Fan, R Chen, M Bian, Y Ma, X Song, ... Computers and Electronics in Agriculture 214, 108260, 2023 | 51 | 2023 |
| Estimating fractional cover of crop, crop residue, and soil in cropland using broadband remote sensing data and machine learning J Yue, Q Tian International Journal of Applied Earth Observation and Geoinformation 89, 102089, 2020 | 47 | 2020 |
| Method for accurate multi-growth-stage estimation of fractional vegetation cover using unmanned aerial vehicle remote sensing J Yue, W Guo, G Yang, C Zhou, H Feng, H Qiao Plant Methods 17 (1), 51, 2021 | 46 | 2021 |
| A robust spectral angle index for remotely assessing soybean canopy chlorophyll content in different growing stages J Yue, H Feng, Q Tian, C Zhou Plant methods 16 (1), 104, 2020 | 45 | 2020 |
| Estimating potato above-ground biomass based on vegetation indices and texture features constructed from sensitive bands of UAV hyperspectral imagery Y Liu, Y Fan, H Feng, R Chen, M Bian, Y Ma, J Yue, G Yang Computers and Electronics in Agriculture 220, 108918, 2024 | 44 | 2024 |
Haikuan FengInformation Technology Research Center, Beijing Academy of Agriculture and Forestry SciencesE-mail confirmado em nercita.org.cn