| Pursuing sustainable productivity with millions of smallholder farmers Z Cui, H Zhang, X Chen, C Zhang, W Ma, C Huang, W Zhang, G Mi, ... Nature 555, 363-366, 2018 | 1005 | 2018 |
| Long-term experiments for sustainable nutrient management in China. A review Y Miao, BA Stewart, F Zhang Agronomy for Sustainable Development 31 (2), 397-414, 2011 | 578 | 2011 |
| Closing yield gaps in China by empowering smallholder farmers W Zhang, G Cao, X Li, H Zhang, C Wang, Q Liu, X Chen, Z Cui, J Shen, ... Nature 537, 671–674, 2016 | 534 | 2016 |
| Improving estimation of summer maize nitrogen status with red edge-based spectral vegetation indices F Li, Y Miao, G Feng, F Yuan, S Yue, X Gao, Y Liu, B Liu, SL Ustin, ... Field Crops Research 157, 111-123, 2014 | 358 | 2014 |
| On-farm evaluation of an in-season nitrogen management strategy based on soil Nmin test Z Cui, F Zhang, X Chen, Y Miao, J Li, L Shi, J Xu, Y Ye, C Liu, Z Yang, ... Field Crops Research 105 (1-2), 48-55, 2008 | 318 | 2008 |
| Hyperspectral canopy sensing of paddy rice aboveground biomass at different growth stages ML Gnyp, Y Miao, F Yuan, SL Ustin, K Yu, Y Yao, S Huang, G Bareth Field Crops Research 155, 42-55, 2014 | 273 | 2014 |
| 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), 083671-083671, 2014 | 239 | 2014 |
| On‐Farm Evaluation of the Improved Soil Nmin–based Nitrogen Management for Summer Maize in North China Plain Z Cui, X Chen, Y Miao, F Zhang, Q Sun, J Schroder, H Zhang, J Li, L Shi, ... Agronomy Journal 100 (3), 517-525, 2008 | 236 | 2008 |
| 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 | 234 | 2013 |
| Evaluating hyperspectral vegetation indices for estimating nitrogen concentration of winter wheat at different growth stages F Li, Y Miao, SD Hennig, ML Gnyp, X Chen, L Jia, G Bareth Precision Agriculture 11, 335-357, 2010 | 216 | 2010 |
| Improving unmanned aerial vehicle remote sensing-based rice nitrogen nutrition index prediction with machine learning H Zha, Y Miao, T Wang, Y Li, J Zhang, W Sun, Z Feng, K Kusnierek Remote Sensing 12 (2), 215, 2020 | 187 | 2020 |
| Identifying important factors influencing corn yield and grain quality variability using artificial neural networks Y Miao, DJ Mulla, PC Robert Precision Agriculture 7, 117-135, 2006 | 160 | 2006 |
| Active canopy sensor-based precision N management strategy for rice Y Yao, Y Miao, S Huang, L Gao, X Ma, G Zhao, R Jiang, X Chen, F Zhang, ... Agronomy for Sustainable Development 32 (4), 925-933, 2012 | 156 | 2012 |
| Combining chlorophyll meter readings and high spatial resolution remote sensing images for in-season site-specific nitrogen management of corn Y Miao, DJ Mulla, GW Randall, JA Vetsch, R Vintila Precision Agriculture 10 (1), 45-62, 2009 | 155 | 2009 |
| Estimating N status of winter wheat using a handheld spectrometer in the North China Plain F Li, ML Gnyp, L Jia, Y Miao, Z Yu, W Koppe, G Bareth, X Chen, F Zhang Field Crops Research 106 (1), 77-85, 2008 | 155 | 2008 |
| Mapping paddy rice fields by applying machine learning algorithms to multi-temporal Sentinel-1A and Landsat data AO Onojeghuo, GA Blackburn, Q Wang, PM Atkinson, D Kindred, Y Miao International Journal of Remote Sensing 39 (4), 1042-1067, 2018 | 154 | 2018 |
| 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 | 152 | 2015 |
| In‐season optical sensing improves nitrogen‐use efficiency for winter wheat F Li, Y Miao, F Zhang, Z Cui, R Li, X Chen, H Zhang, J Schroder, ... Soil Science Society of America Journal 73 (5), 1566-1574, 2009 | 150 | 2009 |
| Best accuracy land use/land cover (LULC) classification to derive crop types using multitemporal, multisensor, and multi-polarization SAR satellite images C Hütt, W Koppe, Y Miao, G Bareth Remote Sensing 8 (8), 684, 2016 | 145 | 2016 |
| Transforming agriculture in China: From solely high yield to both high yield and high resource use efficiency J Shen, Z Cui, Y Miao, G Mi, H Zhang, M Fan, C Zhang, R Jiang, W Zhang, ... Global Food Security 2 (1), 1-8, 2013 | 140 | 2013 |
Dr. Martin Leon GnypYara International, Research Centre HanninhofVerified email at yara.com
