Associate Director, Precision Agriculture Center
Dr. Yuxin Miao got his Ph.D in Soil Science/Precision Agriculture in 2005 from University of Minnesota and he did two year’s postdoc research at the Precision Agriculture Center, University of Minnesota. He joined China Agricultural University in 2007 as an Associate Professor of Precision Agriculture and Nutrient Management. In 2017, he joined University of Minnesota as Associate Director of Precision Agriculture Center and Assistant Professor of Precision Agriculture and Nutrient Management. His research focuses on remote sensing and crop growth modeling-based precision nitrogen management of major crops.
- Precision nitrogen management
- Precision Agriculture
- Remote Sensing
Current N-related Projects:
- Sensing Technology-based Precision Nitrogen Management
Cao, Q., Y.Miao*, G. Feng, X. Gao, B. Liu, Y. Liu, F. Li, R. Khosla, D.J. Mulla. 2017. Improving nitrogen use efficiency with minimal environmental risks using an active canopy sensor in a wheat-maize cropping system. Field Crops Research 214:365-372.
Lu, J., Y. Miao*,W. Shi, J. Li, F. Yuan. 2017. Evaluating different approaches to non-destructive nitrogen status diagnosis of rice using portable RapidSCAN active canopy sensor. Scientific Reports 7, 14073.
Huang, S., Y. Miao*, F.Yuan, M.L. Gnyp, Y. Yao, Q. Cao, H. Wang, V.I.S. Lenz-Wiedemann, G. Bareth. 2017. Potential of RapidEye and WorldView-2 satellite data for improving rice nitrogen status monitoring at different growth stages. Remote Sensing 9, 277.
Cao, Q., Y. Miao*, F. Li, X. Gao, B. Liu, D. Lu, X. Chen. 2017. Developing a new Crop Circle active canopy sensor – based precision nitrogen management strategy for winter wheat in North China Plain. Precision Agriculture 18(1):2-18.
Xia, T., Y. Miao*, D. Wu, H. Shao, R. Khosla, and G. Mi*. 2016. Active optical sensing of spring maize for in-season diagnosis of nitrogen status based on nitrogen nutrition index. Remote Sensing 8, 605; doi:10.3390/rs8070605.
Cao, Q., Y. Miao*, J. Shen et al. 2016. Improving in-season estimation of rice yield potential and responsiveness to topdressing nitrogen application with Crop Circle active crop canopy sensor. Precision Agriculture, 17:136-154.
Huang, S., Y.Miao*, G. Zhao, F.Yuan, X. Ma, C. Tan, W. Yu, M.L.Gnyp, V.I.S. Lenz-Wierdemann, U. Rascher, and G. Bareth. 2015. Satellite remote sensing-based in-season diagnosis of rice nitrogen status in Northeast China. Remote Sensing, 7:10646-10667.
Cao, Q., Y. Miao*, G. Feng, X. Gao, F. Li, B. Liu, S. Yue, S. Cheng, S. Ustin, R. Khosla. 2015. Active canopy sensing of winter wheat nitrogen status: An evaluation of two sensor systems. Computers and Electronics in Agriculture, 112:54-67.
Li, F., Y. Miao*, G. Feng, F. Yuan, S. Yue, X. Gao, Y. Liu, B. Liu, S.L.Ustin, X. Chen. 2014. Improving estimation of summer maize nitrogen status with red edge-based spectral vegetation indices. Field Crops Research, 157:111-123.
Cao, Q., Y. Miao*, H. Wang, S. Huang, S. Cheng, R. Khosla, R. Jiang. 2013. Non-destructive estimation of rice plant nitrogen status with Crop Circle multispectral active canopy sensor. Field Crops Research, 154: 133-144.
Zhao, G., Y. Miao*, H. Wang, M. Su, M. Fan, F. Zhang, R. Jiang, Z. Zhang, C. Liu, P. Liu. 2013. A preliminary precision rice management system for increasing both grain yield and nitrogen use efficiency. Field Crops Research, 154: 23-30.
Yu, K., F. Li, M.L. Gnyp, Y. Miao, G. Bareth, X. Chen. 2013: Remotely detecting canopy nitrogen concentration and uptake of paddy rice in the Northeast China Plain. ISPRS Journal of Photogrammetry and Remote Sensing, 78: 102-115.
Li, F., B. Mistele, Y. Hu, X. Yue, S.Yue, Y. Miao, X. Chen, Z. Cui, Q. Meng, U. Schmidhalter. 2012. Remotely estimating aerial N status of phenologically differing winter wheat cultivars grown in contrasting climatic and geographic zones in China and Germany. Field Crops Research, 138: 21–32.
Yao, Y. Y. Miao*, S. Huang, L. Gao, X. Ma, G. Zhao, R. Jiang, X. Chen, F. Zhang, K. Yu, M. L. Gnyp, G. Bareth, C. Liu, L. Zhao, W. Yang, H. Zhu. 2012. Active crop sensor-based precision nitrogen management strategy for rice. Agronomy for Sustainable Development, 32:925-933.
Cao, Q., Z. Cui, X. Chen, R. Khosla, T.H. Dao, Y. Miao*. 2012. Quantifying spatial variability of indigenous nitrogen supply for precision nitrogen management in small scale farming. Precision Agriculture, 13: 45-61.
Miao*, Y., B. A. Stewart, F. Zhang. 2011. Long-term experiments for sustainable nutrient management in China. A review. Agronomy for Sustainable Development, 31:397-414.
Li, F., Y. Miao, F. Zhang, Z. Cui, R. Li, X. Chen, and H. Zhang, J. Schroder, W. R. Raun, and L. Jia. In-season optical sensing improves nitrogen use efficiency for winter wheat. Soil Science Society of America Journal, 73:1566-1574.
Miao*, Y., D. J. Mulla, G. W. Randall, J. A. Vetsch, and R. Vintila. 2009. Combining chlorophyll meter readings and high spatial resolution remote sensing images for in-season site-specific nitrogen management of corn. Precision Agriculture, 10:45-62.
Miao, Y., D. J. Mulla, J. A. Hernandez, M. Wiebers, and P. C. Robert. 2007. Potential impact of precision nitrogen management on corn yield, protein content and test weight. Soil Science Society of America Journal, 71(5): 1490 – 1499.
Miao, Y., D. J. Mulla, W. D. Batchelor, J. O. Paz, P. C. Robert and M. Wiebers. 2006. Evaluating management zone optimal nitrogen rates with a crop growth model. Agronomy Journal, 98(3): 545-553.
Miao, Y., D. J. Mulla, P. C. Robert, and J. A. Hernandez. 2006. Within-field variation in corn yield and grain quality responses to N fertilization and hybrid selection. Agronomy Journal, 98(1): 129-140.
More complete publication list at Google Scholar: