| Multitemporal crop surface models: accurate plant height measurement and biomass estimation with terrestrial laser scanning in paddy rice N Tilly, D Hoffmeister, Q Cao, S Huang, V Lenz-Wiedemann, Y Miao, ... Journal of Applied Remote Sensing 8 (1), 083671, 2014 | 239 | 2014 |
| Non-destructive estimation of rice plant nitrogen status with Crop Circle multispectral active canopy sensor Q Cao, Y Miao, H Wang, S Huang, S Cheng, R Khosla, R Jiang Field Crops Research 154, 133-144, 2013 | 212 | 2013 |
| Optimal leaf positions for SPAD meter measurement in rice Z Yuan, Q Cao, K Zhang, ST Ata-Ul-Karim, Y Tian, Y Zhu, W Cao, X Liu Frontiers in Plant Science 7, 719, 2016 | 193 | 2016 |
| Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system N Lu, J Zhou, Z Han, D Li, Q Cao, X Yao, Y Tian, Y Zhu, W Cao, T Cheng Plant Methods 15, 1-16, 2019 | 174 | 2019 |
| Combining color indices and textures of UAV-based digital imagery for rice LAI estimation S Li, F Yuan, ST Ata-UI-Karim, H Zheng, T Cheng, X Liu, Y Tian, Y Zhu, ... Remote Sensing 11 (15), 1763, 2019 | 169 | 2019 |
| Wheat growth monitoring and yield estimation based on multi-rotor unmanned aerial vehicle Z Fu, J Jiang, Y Gao, B Krienke, M Wang, K Zhong, Q Cao, Y Tian, Y Zhu, ... Remote Sensing 12 (3), 508, 2020 | 160 | 2020 |
| Active canopy sensing of winter wheat nitrogen status: An evaluation of two sensor systems Q Cao, Y Miao, G Feng, X Gao, F Li, B Liu, S Yue, S Cheng, SL Ustin, ... Computers and Electronics in Agriculture 112, 54-67, 2015 | 146 | 2015 |
| Indicators for diagnosing nitrogen status of rice based on chlorophyll meter readings Z Yuan, ST Ata-Ul-Karim, Q Cao, Z Lu, W Cao, Y Zhu, X Liu Field crops research 185, 12-20, 2016 | 119 | 2016 |
| Non-destructive assessment of plant nitrogen parameters using leaf chlorophyll measurements in rice ST Ata-Ul-Karim, Q Cao, Y Zhu, L Tang, MIA Rehmani, W Cao Frontiers in Plant Science 7, 1829, 2016 | 111 | 2016 |
| Predicting rice grain yield based on dynamic changes in vegetation indexes during early to mid-growth stages K Zhang, X Ge, P Shen, W Li, X Liu, Q Cao, Y Zhu, W Cao, Y Tian Remote sensing 11 (4), 387, 2019 | 105 | 2019 |
| Improving in-season estimation of rice yield potential and responsiveness to topdressing nitrogen application with Crop Circle active crop canopy sensor Q Cao, Y Miao, J Shen, W Yu, F Yuan, S Cheng, S Huang, H Wang, ... Precision Agriculture 17 (2), 136-154, 2016 | 98 | 2016 |
| Quantifying spatial variability of indigenous nitrogen supply for precision nitrogen management in small scale farming Q Cao, Z Cui, X Chen, R Khosla, TH Dao, Y Miao Precision Agriculture 13, 45-61, 2012 | 91 | 2012 |
| Spectroscopic detection of rice leaf blast infection from asymptomatic to mild stages with integrated machine learning and feature selection L Tian, B Xue, Z Wang, D Li, X Yao, Q Cao, Y Zhu, W Cao, T Cheng Remote sensing of environment 257, 112350, 2021 | 80 | 2021 |
| Potential of RapidEye and WorldView-2 satellite data for improving rice nitrogen status monitoring at different growth stages S Huang, Y Miao, F Yuan, ML Gnyp, Y Yao, Q Cao, H Wang, ... Remote Sensing 9 (3), 227, 2017 | 77 | 2017 |
| Potential of UAV-based active sensing for monitoring rice leaf nitrogen status S Li, X Ding, Q Kuang, ST Ata-UI-Karim, T Cheng, X Liu, Y Tian, Y Zhu, ... Frontiers in Plant Science 9, 414226, 2018 | 71 | 2018 |
| Developing a new Crop Circle active canopy sensor-based precision nitrogen management strategy for winter wheat in North China Plain Q Cao, Y Miao, F Li, X Gao, B Liu, D Lu, X Chen Precision Agriculture 18, 2-18, 2017 | 70 | 2017 |
| Improving nitrogen use efficiency with minimal environmental risks using an active canopy sensor in a wheat-maize cropping system Q Cao, Y Miao, G Feng, X Gao, B Liu, Y Liu, F Li, R Khosla, DJ Mulla, ... Field Crops Research 214, 365-372, 2017 | 68 | 2017 |
| Combining texture, color, and vegetation indices from fixed-wing UAS imagery to estimate wheat growth parameters using multivariate regression methods J Zhang, X Qiu, Y Wu, Y Zhu, Q Cao, X Liu, W Cao Computers and Electronics in Agriculture 185, 106138, 2021 | 67 | 2021 |
| Estimation of rice growth parameters based on linear mixed-effect model using multispectral images from fixed-wing unmanned aerial vehicles Y Wang, K Zhang, C Tang, Q Cao, Y Tian, Y Zhu, W Cao, X Liu Remote sensing 11 (11), 1371, 2019 | 63 | 2019 |
| In-Season Estimation of Rice Nitrogen Status With an Active Crop Canopy Sensor Y Yao, Y Miao, Q Cao, H Wang, M Gnyp, G Bareth, R Khosla, W Yang, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 63 | 2014 |
Yan ZhuProfessor, Nanjing Agricultural University在 njau.edu.cn 的电子邮件经过验证
