Journals

2018

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: https://doi.org/10.1016/j.ohx.2018.e00029.

2017

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. https://doi.org/10.1017/S1742170517000655

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.