ORCID: 0000-0002-1079-118X

Peer-reviewed papers:

Tyler J. Nigon, Ce Yang*, Gabriel Dias Paiao, David J. Mulla, Joseph F. Knight and Fabián G. Fernández, 2020. Prediction of Early Season Nitrogen Uptake in Maize Using High-Resolution Aerial Hyperspectral Imagery. Remote Sens. 12, 1234; doi:10.3390/rs12081234

      This paper is featured on MDPI Remote Sensing Journal Webpage

Nigon, T.J., Yang, C.*, Mulla, D.J. and Kaiser, D.E. "Computing uncertainty in the optimum nitrogen rate using a generalized cost function." Computers and Electronics in Agriculture (2019), 167, p.105030.

        New open-source software tool EONR for Economic Optimum Nitrogen Rate

Moghimi, A., Yang, C.* and Anderson, J.A., 2020. Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat. Computers and Electronics in Agriculture, 172, p.105299.

Mahdavian, A.*, Minaei, S., Yang, C., Almasganj, F., Rahimi, S. and Marchetto, P.M., 2020. Ability evaluation of a voice activity detection algorithm in bioacoustics: A case study on poultry calls. Computers and Electronics in Agriculture, 168, p.105100.

Qiu, R., Yang, C.*, Moghimi, A., Zhang, M., Steffenson, B.J. and Hirsch, C.D., 2019. Detection of Fusarium Head Blight in Wheat Using a Deep Neural Network and Color Imaging. Remote Sensing, 11(22), p.2658.

Wang, C., Li, X.*, Wang, L., Yang, C., Chen, X., Li, M. and Ma, S., 2019. Prediction of N, P, and K Contents in Sugarcane Leaves by VIS-NIR Spectroscopy and Modeling of NPK Interaction Effects. Transactions of the ASABE, 62(6), pp.1427-1433.

Yang, W., Yang, C.*, Hao, Z., Xie, C. and Li, M. Diagnosis of Plant Cold Damage Based on Hyperspectral Imaging and Convolutional Neural Network. IEEE Access (2019), 7, pp.118239-118248.

Moghimi, Ali, Yang, Ce*, Marchetto, Peter. "Ensemble Feature Selection: a Journey from hyperspectral to multispectral imaging." IEEE Access (2018) DOI: 10.1109/ACCESS.2018.2872801.

Moghimi, Ali*, Ce Yang, Marisa E. Miller, Shahryar Kianian, and Peter Marchetto. "A novel approach to assess salt stress tolerance in wheat using hyperspectral imaging." Frontiers in Plant Science 9 (2018): 1182.

Xie, C., Yang, C.*, Hummel Jr, A., Johnson, G.A. and Izuno, F.T. Spectral reflectance response to nitrogen fertilization in field grown corn. International Journal of Agricultural and Biological Engineering (2018), 11(4), pp.118-126.

Chuanqi Xie, Ce Yang*, Yong He. Hyperspectral imaging for classification of healthy and gray mold diseased tomato leaves with different infection severities. Computers and Electronics in Agriculture (2017), 135, 154-162.

Mahdavian, Alireza, Minaei, Saeed*, Almasganj, Farshad, Rahimi, Shaban, Yang, Ce, & Marchetto, Peter. (2017). Potential application of sound processing techniques for poultry health monitoring. Digital Processing, 111, 48596–48600.

Yang, C., Lee, W.S.* and Gader, P., 2014. Hyperspectral band selection for detecting different blueberry fruit maturity stages. Computers and Electronics in Agriculture, 109, pp.23-31.

Ce Yang, Won Suk Lee*, Paul Gader, and Han Li. Hyperspectral band selection using Kullback-Leibler divergence for blueberry fruit detection. Proc. IEEE WHISPERS 2013.

Yang, C., Lee, W.S.* and Williamson, J.G., 2012. Classification of blueberry fruit and leaves based on spectral signatures. Biosystems engineering, 113(4), pp.351-362.


Moghimi, A., Yang, C., Anderson, J.A. and Reynolds, S.K., 2019. Selecting informative spectral bands using machine learning techniques to detect Fusarium head blight in wheat. In 2019 ASABE Annual International Meeting (p. 1). American Society of Agricultural and Biological Engineers.

Qiu, R., Yang, C., Moghimi, A., Anderson, J., Steffenson, B. and Marchetto, P., 2018, December. Detection of Fusarium Head Blight in small grains using hyperspectral imaging. In Proceedings of the 2018 National Fusarium Head Blight Forum, St. Louis, Missouri, USA, 2-4 December 2018 (pp. 32-36). US Wheat & Barley Scab Initiative (USWBSI).

Nigon, T., Yang, C. and Mulla, D. Utilization of spatially precise measurements to autocalibrate the EPIC agroecosystem model. International Conference on Precision Agriculture (2018) Montreal, Quebec, Canada.

Ali Moghimi, Ce Yang, Marisa E. Miller, Shahryar Kianian, Peter Marchetto. Hyperspectral imaging to identify salt-tolerant wheat lines. SPIE Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping II, 1021805. 2017; doi: 10.1117/12.2262388

Chuanqi Xie, Ce Yang, Gregg Johnson, Forrest Izuno. Spectral response of nitrogen of corn crops in fields using hyperspectral images by Unmanned Aerial Vehicle (UAV). American Society of Agricultural and Biological Engineers Annual International Meeting. Spokane, Washington, USA, 2017.

Chuanqi Xie, Ce Yang, James Anderson, Todd Colten. Using RGB images collected by Unmanned Aerial Vehicle (UAV)-based camera to predict wheat yields in the field. American Society of Agricultural and Biological Engineers Annual International Meeting. Spokane, Washington, USA, 2017.

Xie, C., Yang, C. and Moghimi, A., 2017, April. Detection of cold stressed maize seedlings for high throughput phenotyping using hyperspectral imagery. In Hyperspectral Imaging Sensors: Innovative Applications and Sensor Standards 2017 (Vol. 10213, p. 1021305). International Society for Optics and Photonics.

Chuanqi Xie, Ce Yang, Yong He. Detection of grey mold disease on tomato leaves at different infected stages using hyperspectral imaging. American Society of Agricultural and Biological Engineers. Orlando, Florida, USA, 2016.

Nigon, T.J., Yang, C., Mulla, D.J., & Kaiser, D. Tetrapy: a Python package for cleaning and preprocessing Tetracam multispectral imagery. The international annual meeting of ASA-CSSA-SSSA, 2016. Phoenix, AZ.

Ali Moghimi, Mohammad Hossein Aghkhani, Mahmood Reza Golzarian, Abbas Rohani, Ce Yang. A Robo-vision Algorithm for Automatic Harvesting of Green Bell Pepper. International conference of American Association of Agricultural and Biological Engineering (ASABE), 2015. doi:10.13031/aim.20152189355

Ce Yang, Won Suk Lee, and Paul Gader. Band selection of hyperspectral images for the detection of blueberry fruit with different growth stages. International conference of American Association of Agricultural and Biological Engineering (ASABE), 2013. Paper Number: 1593276.

Anurag R. Katti, Won Suk Lee, and Ce Yang. 2013. Laser weeding system for elimination of in-row weeds. In Proceedings of the 5th Asian Conference on Precision Agriculture (ACPA), June 25-28, 2013, Jeju, Korea.

Yang, C. and Lee, W.S., 2012. Blueberry fruit detection by Bayesian classifier and support vector machine based on visible to near-infrared multispectral imaging. In 2012 Dallas, Texas, July 29-August 1, 2012 (p. 1). American Society of Agricultural and Biological Engineers.

Yang, C. and Lee, W.S., 2011. Spectral signatures of blueberry fruits and leaves. In 2011 Louisville, Kentucky, August 7-10, 2011 (p. 1). American Society of Agricultural and Biological Engineers.