Publications

Visit the Digital Agriculture lab Website for an updated list of publications

Refereed Journal Papers

  1. Jafarbiglu, H., & Pourreza, A. (2023). Impact of sun-view geometry on canopy spectral reflectance variability. ISPRS Journal of Photogrammetry and Remote Sensing, 196, 270-286.
  2. Jafarbiglu, H., Pourreza, A. (2022). A Comprehensive Review of Remote Sensing Sensors, Platforms, and Applications for Nut Crop Production. Journal of Computers and Electronics in Agriculture, 197, 106844.
  3. Omidi, R., Pourreza, A., Moghimi, A., Zuniga-Ramirez, G., Jafarbiglu, H., Maung, Z., & Westphal, A. (2022). A Semi-supervised approach to cluster symptomatic and asymptomatic leaves in root lesion nematode infected walnut trees. Computers and Electronics in Agriculture, 194, 106761.
  4. Zhang X, Pourreza A, Cheung KH, Zuniga-Ramirez G, Lampinen BD and Shackel KA (2021). Estimation of Fractional Photosynthetically Active Radiation From a Canopy 3D Model; Case Study: Almond Yield Prediction. Front. Plant Sci. 12:715361. doi: 10.3389/fpls.2021.715361
  5. 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.
  6. Omidi, R., Moghimi, A., Pourreza, A., El-Hadedy, M., & Eddin, A. S. (2020, December). Ensemble Hyperspectral Band Selection for Detecting Nitrogen Status in Grape Leaves. In 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 286-293). IEEE.
  7. 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.
  8. 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.
  9. 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
  10. 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.
  11. Pourreza, A., Lee, W. S., Ritenour, M. A., & Roberts, P. (2016). Spectral Characteristics of Citrus Black Spot Disease. HortTechnology, 26(3), 254-260.
  12. 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.
  13. 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:http://dx.doi.org/10.1016/j.biosystemseng.2014.11.013
  14. 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:http://dx.doi.org/10.1016/j.compag.2014.11.021
  15. 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.
  16. 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
  17. Aghkhani, M. H., & Pourreza, A. (2007). Egg Sorting by Machine Vision Method. Journal of Agricultural Engineering Research, 8(3), 141-150.

Patent

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

 

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