Yuxin Miao, Ph.D.

Affiliations: 
2005 University of Minnesota, Twin Cities, Minneapolis, MN 
Area:
Soil Science Agriculture, Agronomy Agriculture, Agricultural Engineering
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Parents

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David J. Mulla grad student 2005 UMN
 (Precision management of corn for optimum yield and grain quality.)
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Publications

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Li Y, Miao Y, Zhang J, et al. (2022) Improving Estimation of Winter Wheat Nitrogen Status Using Random Forest by Integrating Multi-Source Data Across Different Agro-Ecological Zones. Frontiers in Plant Science. 13: 890892
Lu J, Miao Y, Shi W, et al. (2020) Developing a Proximal Active Canopy Sensor-based Precision Nitrogen Management Strategy for High-Yielding Rice Remote Sensing. 12: 1440
Dong R, Miao Y, Wang X, et al. (2020) Estimating Plant Nitrogen Concentration of Maize Using a Leaf Fluorescence Sensor across Growth Stages Remote Sensing. 12: 1139
Wang X, Miao Y, Dong R, et al. (2020) Economic Optimal Nitrogen Rate Variability of Maize in Response to Soil and Weather Conditions: Implications for Site-Specific Nitrogen Management Agronomy. 10: 1237
Berry P, Blackburn A, Sterling M, et al. (2019) A multi-disciplinary approach for the precision management of lodging risk Precision Agriculture. 969-975
Zha H, Cammarano D, Wilson L, et al. (2019) Combining crop modelling and remote sensing to create yield maps for management zone delineation in small scale farming systems Precision Agriculture. 883-889
Wang X, Miao Y, Dong R, et al. (2019) Evaluating the potential benefits of field-specific nitrogen management of spring maize in northeast China Precision Agriculture
Wang X, Miao Y, Dong R, et al. (2019) Developing Active Canopy Sensor-Based Precision Nitrogen Management Strategies for Maize in Northeast China Sustainability. 11: 706
Huang S, Miao Y, Yuan F, et al. (2019) In-Season Diagnosis of Rice Nitrogen Status Using Proximal Fluorescence Canopy Sensor at Different Growth Stages Remote Sensing. 11: 1847
Chen Z, Miao Y, Lu J, et al. (2019) In-Season Diagnosis of Winter Wheat Nitrogen Status in Smallholder Farmer Fields Across a Village Using Unmanned Aerial Vehicle-Based Remote Sensing Agronomy. 9: 619
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