2024
Zhen, X., Miao, Y., Huang, Y., Yang, Z., Feng, G., Fernandez, F., ... Yang, M. 2024. Automatic calibration of DSSAT and APEX models for maize yield simulation and economic optimum nitrogen rate determination. European Journal of Agronomy. [Submitted]
Li, Y., Miao, Y., Rawat, A., Stueve, K. 2024. Identifying key soil and landscape factors influencing yield spatial patterns for management zone delineation using ensemble machine learning. Computers and Electronics in Agriculture. [Submitted]
Lu, J., Miao, Y., Mizuta, K., Negrini, R., Ona, A.G.M. 2024. Developing a machine learning-based in-season site-specific nitrogen recommendation strategy for corn using satellite remote sensing and multi-site-year on-farm trial data. Precision Agriculture. [In preparation]
Li, D., Miao, Y., Bean, G. M., Sawyer, J. E., Fernandez, F. G., Kitchen, N. R., ... Shanahan, J. F. 2024. Developing an innovative in-season site-specific nitrogen recommendation strategy with machine learning for US Midwest corn production. Computers and Electronics in Agriculture. [In preparation]
Lu, J., Miao, Y., Ransom, C. J., Fernandez, F. G. 2024. Developing a remote sensing and site-specific calibration-based precision nitrogen management strategy for corn across US Midwest. European Journal of Agronomy. [In preparation]
Wakahara, S., Miao, Y., Rosen, C. J. 2024. Developing an integrated precision nitrogen management strategy for potato combining slow-release fertilizer and crop sensor-based in-season nitrogen status diagnosis and application. Precision Agriculture. [In preparation]
Kechchour, A., Miao, Y., Sharma, V., Flores, A., Lacerda, L., Mizuta, K., ... Huang, Y. 2024. Simultaneous diagnosis of corn nitrogen and water status using UAV multispectral and thermal remote sensing. Computers and Electronics in Agriculture. [In preparation]
Wakahara, S., Miao, Y., Sharma, V., Rosen, C. J. 2024. Evaluating different critical nitrogen dilution curves for two potato cultivars under variable irrigation conditions. European Journal of Agronomy. [In preparation]
Negrini, R., Miao, Y., Stueve, K. 2024. Management zone delineation strategies for site-specific sulfur management of corn. European Journal of Agronomy. [In preparation]
Kechchour, A., Miao, Y., Folle, S., Mizuta, K. 2024. Management zone delineation for variable rate seeding of corn. Precision Agriculture. [In preparation]
Li, Y., Rawat, A., Miao, Y., Lu, J., Stueve, K. 2024. Evaluating different strategies to delineate site-specific management zones for precision nitrogen management. Computers and Electronics in Agriculture. [In preparation]
Li, Y., Rawat, A., Miao, Y., Lacerda, L., Mizuta, K., Lu, J., Stueve, K. 2024. Evaluating different strategies to identify key soil and landscape factors influencing crop yield spatial patterns using machine learning. Journal of Environmental Management. [In preparation]
Kechchour, A., Miao, Y., Folle, S., Mizuta, K. 2024. On-farm evaluation of the potential benefits of variable rate seeding for corn in Minnesota. Agronomy Journal. [In preparation]
Negrini, R., Miao, Y., Stueve, K. 2024. Identifying key factors influencing corn responses to sulfur fertilizer application under on-farm conditions using machine learning. European Journal of Agronomy. [In preparation]
Negrini, R., Miao, Y., Mizuta, K., Stueve, K., Kaiser, D., Coulter, J. 2024. Spatial and temporal variability in optimal sulfur rates for corn in Minnesota: implications for precision sulfur management. Precision Agriculture. [In preparation]
Dong, L., Miao, Y., Wang, X. 2024. In-season prediction of lodging risk for precision maize management by integrating proximal sensing, crop growth modeling and machine learning. Computers and Electronics in Agriculture. [In preparation]
Chen, X., Li, F., Chang, Q., Miao, Y., Yu, K. 2024. Machine learning combines optimized vegetation indices and weather information to estimate winter wheat plant nitrogen concentration from UAV hyperspectral imagery. [Internal Review; Not Submitted]
Huo, W., Crant, J., Miao, Y., Rosen, C. 2024. Phosphorus placement and microbial inoculation effects on potato yield, quality, and phosphorus recovery efficiency under high soil phosphorus conditions. Agronomy Journal. [Revising to Resubmit]
Chen, X., Li, F., Chang, Q., Miao, Y., Wang, Q., Fan, K., ... Yu, K. 2024. Combining UAV and satellite remote sensing for large-scale winter wheat plant nitrogen concentration mapping. Computers and Electronics in Agriculture. [Revising to Resubmit]
Chen, X., Li, F., Chang, Q., Miao, Y., Yu, K. 2024. Improving winter wheat plant nitrogen concentration prediction by combining proximal hyperspectral sensing and weather information. Journal of Integrative Agriculture. [Submitted]
Wang, X., Miao, Y., Dong, L., Mi, G., Batchelor, W. D., Kusnierek, K. 2024. A precision nitrogen management strategy for maize based on crop growth modeling, active canopy sensing and machine learning. Computers and Electronics in Agriculture. [Revision to Submit]
2023
Miao, Y., Rosen, C. J., Wakahara, S. 2023. Developing integrated sensor-based precision nitrogen management strategies for potatoes using slow-release fertilizers and weather data. Precision Agriculture Conference Abstracts. [Oral Presentation]
Kechchour, A., Miao, Y., Flores, A., Mizuta, K., Lacerda, L. 2023. Diagnosing nitrogen and water status of corn using UAV multispectral and thermal imagery. ASA-CSSA-SSSA International Meeting. [Poster Presentation]
Negrini, R., Miao, Y., Stueve, K. 2023. Management zone delineation strategies for site-specific sulfur and seeding rate management in corn. ASA-CSSA-SSSA International Meeting. [Oral Presentation]
2022
Sharma, V., Miao, Y., Wakahara, S., Rosen, C. J. 2022. Comparison of critical nitrogen dilution curves for potato under different irrigation treatments. ASA-CSSA-SSSA International Meeting. [Poster Presentation]
Lu, J., Miao, Y., Fernandez, F. G. 2022. A remote sensing and machine learning approach for in-season nitrogen management in corn. ASA-CSSA-SSSA International Meeting. [Oral Presentation]
2021
Lu, J., Miao, Y., Wang, C., Zhang, Y. 2021. Site-specific nitrogen management for corn using canopy sensing and remote sensing techniques: a review. Agronomy Journal 113(1): 3–16.
Lu, J., Miao, Y., Fernandez, F. G. 2021. Combining remote sensing and crop sensors to optimize in-season nitrogen management in corn. ASA-CSSA-SSSA International Meeting. [Oral Presentation]
2020
Chen, X., Miao, Y., Yuan, F., Yu, K., Zhang, Y., Chang, Q., Li, F. 2020. Mapping winter wheat nitrogen status using UAV hyperspectral remote sensing and machine learning. Remote Sensing 12(17):2840.
Miao, Y., Lu, J., Fernandez, F. G. 2020. Precision nitrogen management for maize using satellite remote sensing and on-farm field trials. ASA-CSSA-SSSA International Meeting. [Oral Presentation]