Yuxin Miao

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Coauteurs

Dr. Martin Leon GnypYara International, Research Centre HanninhofAdresse e-mail validée de yara.com
fusuo zhangProfessor of Plant Nutrition Science, China Agricultural UniversityAdresse e-mail validée de cau.edu.cn
Fei YuanMinnesota State University, MankatoAdresse e-mail validée de mnsu.edu
Fei LiProfessor of plant nutrition, Inner Mongolia Agricultural UniversityAdresse e-mail validée de imau.edu.cn
David MullaProfessor and W.E. Larson Chair for Soil & Water Resources; Dept. Soil, Water & Climate; Univ. MNAdresse e-mail validée de umn.edu
Qiang CaoNanjing Agricultural UniversityAdresse e-mail validée de njau.edu.cn
Krzysztof KusnierekResearcher in Precision Agriculture, Norwegian Institute of Bioeconomy ResearchAdresse e-mail validée de nibio.no
Rajiv KhoslaProfessor & Head, Kansas State UniversityAdresse e-mail validée de ksu.edu
Kang YuTechnical University of Munich (TUM)Adresse e-mail validée de tum.de
Jun-jun LuChina Agriculture UniversityAdresse e-mail validée de cau.edu.cn
Prof. Guohua MiChina Agricultural UniversityAdresse e-mail validée de cau.edu.cn
William D. BatchelorProfessor, Biosystems Engeering, Auburn UniversityAdresse e-mail validée de auburn.edu
Nora TillyInstitute of Geography, University of CologneAdresse e-mail validée de uni-koeln.de
Weifeng YuCollege of resources and environment, China Agriculture UniversityAdresse e-mail validée de cau.edu.cn
Susan UstinDistinguished Professor, Emeritus, Dept. of Land, Air, and Water Resources, U California DavisAdresse e-mail validée de ucdavis.edu
Jianbo ShenChina Agricultural UniversityAdresse e-mail validée de cau.edu.cn
Fabian FernandezDepartment of Soil, Water, and Climate; University of MinnesotaAdresse e-mail validée de umn.edu
Carl RosenProfessor of Soil Science, Univeristy of MinnesotaAdresse e-mail validée de umn.edu
Dr. Christoph HüttInstitute of Geographie, University of CologneAdresse e-mail validée de uni-koeln.de
Alan BlackburnLancaster UniversityAdresse e-mail validée de lancaster.ac.uk

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Yuxin Miao

Precision Agriculture Center, University of Minnesota

Adresse e-mail validée de umn.edu

Precision Agriculture Remote Sensing Plant Nutrition Sustainable Agriculture Agroecology


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	1050	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	588	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	546	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	368	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	321	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	282	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	242	2014
On‐Farm Evaluation of the Improved Soil N_min–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	238	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	237	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	221	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	198	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
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	159	2009
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	158	2015
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	158	2012
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	155	2018
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
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	151	2009
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	149	2013
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	148	2016

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