Digital Agriculture Lab Publications

Refereed Journal Papers

  1. 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
  2. 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.

Extension Publication

  1. Pourreza, A. (November 2017) Virtual Orchard, A New Tool to Better Understand Plant Needs. West Coast Nut Magazine.
  2. Pourreza, A. (April 2017) A Practical Solution to Address the Emergence of Citrus Greening Forecasting in California. CAPCA Advisors Magazine.
  3. Pourreza, A. (2016) Real-Time Sensor for Early Detection of Citrus Huanglongbing (HLB). Online Journal of Topics in Subtropics, UC-ANR.



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.

    Refereed Conference papers

    1. Pourreza, A., Lee, W. S., Lu, J., & Roberts, P. (2016). Development of a Multiband Sensor for Citrus Black Spot Disease Detection. Paper presented at the 13th ICPA International Conference, St. Louis, Missouri, USA.
    2. Pourreza, A., Lee, W. S., Justice, D., Eva, C., Lance, V., & William, G. (2016). Early Diagnosis of Huanglongbing disease in Citrus Seedlings. Paper presented at the 129th Florida State Horticultural Society Annual Meeting, Stuart, Florida, USA.
    3. Pourreza, A., Lee, W. S., & Etxeberria, E. (2014). Rapid in-field diagnosis of Huanglongbing disease using computer vision. Paper presented at the 127th Florida State Horticultural Society Annual Meeting, Clearwater, Florida, USA.
    4. Pourreza, A., & Lee, W. S. (2014). Effect Of Starch Accumulation In Huanglongbing Symptomatic Leaves On Reflecting Polarized Light. Paper presented at the 12th ICPA International Conference, Sacramento, California, USA.
    5. Pourreza, A., Pourreza, H., & Hossein-Aghkhani, M. (2010). An automatic foreign materials detection of barberries using red-free image processing. Paper presented at the Third International Workshop on Advanced Computational Intelligence (IWACI).