Moghimi A., C. Yang, P.M. Marchetto. 2018. Ensemble Feature Selection for Plant Phenotyping: A Journey From Hyperspectral to Multispectral Imaging. IEEE Access 6:56870-56884. DOI: 10.1109/ACCESS.2018.2872801

Christianson, R, L Christianson, C Wong, M Helmers, G McIsaac, D Mulla, M McDonald. 2018. Beyond the nutrient strategies: Common ground to accelerate agricultural water quality improvement in the upper Midwest. Journal of Environmental Management 206: 1072-1080. 

Moghimi A., C. Yang, M.E. Miller, S.F. Kianian, P.M. Marchetto. 2018. A novel approach to assess salt stress tolerance in wheat using hyperspectral imaging. Frontiers in Plant Science 9:1182. DOI: 10.3389/fpls.2018.01182

Onojeghuo, A O, G A Blackburn, Q Wang, P M Atkinson, D Kindred, Y Miao. 2018. Mapping paddy rice fields by applying machine learning algorithms to multi-temporal Sentinel-1A and Landsat data. International Journal of Remote Sensing 39(4):1042-1067.

Onojeghuo, A O, G A Blackburn, Q Wang, P M Atkinson, D Kindred, Y Miao. 2018. Rice crop phenology mapping at high spatial and temporal resolution using downscaled MODIS time-series. GIScience & Remote Sensing. DOI: 10.1080/15481603.2018.1423725 

Susko, A Q, F Gilbertson, D J Heuschele, K Smith, P Marchetto. 2018. An automatable, field camera track system for pheontyping crop lodging and crop movement. HardwareX 4:1-13. DOI:


Cao, Q, Y Miao, G Feng, X Gao, B Liu, Y Liu, F Li, R Khosla, DJ Mulla, F. Zhang. 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.

Jordan, N., D. Mulla, C. Slotterback, B. Runck and C. Hays. 2017. Multifunctional agricultural watersheds for climate adaptation in the Midwest USA: commentary. Renewable Agriculture and  Food Systems.

Galzki, J., D. Mulla, and E. Meier. 2017. Mapping potential foodsheds using regionalized consumer expenditure data for Southeastern Minnesota. Journal of Agriculture, Food Systems, and Community Development. 7(3):1-16.

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.

Huang, S, Y Miao, F Yuan, M Gnyp, Y Yao, Q Cao, H Wang, V 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(3):227.

Huang, S, Y Miao, Q Cao, Y Yao, G Zhao, W Yu, J Shen, K Yu, G Bareth. 2017. Critical Nitrogen Dilution Curve for Rice Nitrogen Status Diagnosis in Northeast China. Pedosphere. In press (accepted).

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(1): 14073

Zhao, Q, S Brocks, V Lenz-Wiedemann, Y Miao, F Zhang, G Bareth. 2017. Detecting spatial variability of paddy rice yield by combining the DNDC model with high resolution satellite images. Agricultural Systems 152(1):47-57.