Digital Agriculture Lab Publications

Refereed Journal Papers

  1. Pourreza, A., Moghimi, A., Niederholzer, F. J., Larbi, P. A., Zuniga-Ramirez, G., Cheung, K. H., & Khorsandi, F. (2020). Spray Backstop: A Method to Reduce Orchard Spray Drift Potential without Limiting the Spray and Air Delivery. Sustainability, 12(21), 8862.
  2. Omidi, R., Moghimi, A., Pourreza, A., El-Hadedy, M., & Eddin, A. S. (2020). Ensemble Hyperspectral Band Selection for Detecting Nitrogen Status in Grape Leaves. arXiv preprint arXiv:2010.04225.
  3. Moghimi, A., Pourreza, A., Zuniga-Ramirez, G., Williams, L. E., & Fidelibus, M. W. (2020). A Novel Machine Learning Approach to Estimate Grapevine Leaf Nitrogen Concentration Using Aerial Multispectral Imagery. Remote Sensing, 12(21), 3515.
  4. Montazar, A., Krueger, R., Corwin, D., Pourreza, A., Little, C., Rios, S., & Snyder, R. L. (2020). Determination of Actual Evapotranspiration and Crop Coefficients of California Date Palms Using the Residual of Energy Balance Approach. Water, 12(8), 2253.
  5. Chaji, S., Pourreza, A., Pourreza, H., & Rouhani, M. (2018). Estimation of the camera spectral sensitivity function using neural learning and architecture. Journal of the Optical Society of America A, 35(6), 850-858. doi:10.1364/JOSAA.35.000850
  6. Pourreza, A., Lee, W. S., Czarnecka, E., Verner, L., & Gurley, W. (2017). Feasibility of Using the Optical Sensing Techniques for Early Detection of Huanglongbing in Citrus Seedlings. Robotics, 6(2), 11.





Previous Publications


  1. Raveh, Eran, Lee, Wonsuk, Pourreza, Alireza and Ehsani, Reza. “Method for Huanglongbing (HLB) Detection.” WO 2015/193885, 2015 and US20170131200A1, 2017.

Refereed Journal Papers

    1. Pourreza, A., Lee, W. S., Ritenour, M. A., & Roberts, P. (2016). Spectral Characteristics of Citrus Black Spot Disease. HortTechnology, 26(3), 254-260.
    2. Pourreza, A., Lee, W. S., Etxeberria, E., & Zhang, Y. (2016). Identification of Citrus Huanglongbing Disease at the Pre-Symptomatic Stage Using Polarized Imaging Technique. IFAC-PapersOnLine, 49(16), 110-115.
    3. Pourreza, A., Lee, W. S., Etxeberria, E., & Banerjee, A. (2015). An evaluation of a vision-based sensor performance in Huanglongbing disease identification. Biosystems Engineering, 130(0), 13-22. doi:
    4. Pourreza, A., Lee, W. S., Ehsani, R., Schueller, J. K., & Raveh, E. (2015). An optimum method for real-time in-field detection of Huanglongbing disease using a vision sensor. Computers and Electronics in Agriculture, 110(0), 221-232. doi:
    5. Pourreza, A., Lee, W. S., Raveh, E., Ehsani, R., & Etxeberria, E. (2014). Citrus Huanglongbing detection using narrow-band imaging and polarized illumination. Trans. ASABE, 57(1), 259-272.
    6. Pourreza, A., Pourreza, H., Abbaspour-Fard, M.-H., & Sadrnia, H. (2012). Identification of nine Iranian wheat seed varieties by textural analysis with image processing. Computers and Electronics in Agriculture, 83, 102-108. doi:10.1016/j.compag.2012.02.005
    7. Aghkhani, M. H., & Pourreza, A. (2007). Egg Sorting by Machine Vision Method. Journal of Agricultural Engineering Research, 8(3), 141-150.