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Yuxin Miao
Yuxin Miao
Precision Agriculture Center, University of Minnesota
Geverifieerd e-mailadres voor umn.edu
Titel
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Jaar
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
8982018
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
5482011
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
4882016
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
3182014
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
3092008
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
2582014
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
2342014
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
2302008
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
2112013
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
2092010
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
1662020
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
1582006
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
1552008
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
1512012
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
1502009
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
1462009
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
1452015
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
1402018
Within-field variation in corn yield and grain quality responses to nitrogen fertilization and hybrid selection
Y Miao, DJ Mulla, PC Robert, JA Hernandez
Agronomy Journal 98 (1), 129-140, 2006
1372006
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
1352016
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