Ahmed Galal Ahmed Abdelaal Kayad

Agricultural Engineer Advisor
Intermountain Research & Extension Center
2816 Havlina Road
Tulelake, CA 96134
(530) 667-5117
agkayad@ucanr.edu Create VCard

Biography

Ahmed Kayad is an Ag. Engineer Advisor for applied research and extension at the University of California, Intermountain Research and Extension Center. He worked as a farm machinery engineer at CLAAS agent in Egypt (2010-2011), researcher at King Saud University, Saudi Arabia (2011-2018), doctoral researcher at the University of Padua, Italy (2018-2021), a visiting doctoral researcher at CIMMYT, Mexico (2020) and a post-doctoral researcher at the University of Padua and the University of California, Riverside (2021-2022). Ahmed’s research focuses on crop yield monitoring, weed detection, farm machinery, drone and sensors applications in agriculture.

Education

Ph.D. Environmental Resources - Digital Agriculture, University of Padua, Italy. 2021
M.S. Agricultural Engineering - Precision Agriculture, King Saud University, Saudi Arabia. 2015
B.S. Agricultural Engineering, Alexandria University, Egypt. 2009

Discipline

Biological and Agricultural Engineering

Specialty

Agricultural Engineering, Precision Agriculture, Farm Machinery, Remote Sensing

Bibliography

Peer Reviewed

  • Elkatoury, A; A. Alazba; F. Radwan; A. Kayad; A. Mossad (2024). Evapotranspiration Estimation Assessment Using Various Satellite-Based Surface Energy Balance Models in Arid Climates. Earth Systems and Environment. Springer. 8(3). https://doi.org/10.1007/s41748-024-00501-1

  • Kaihua, L., A. Kayad, M. Sozzi, L. Sartori and F. Marinello, 2023. Headland and Field Edge Performance Assessment Using Yield Maps and Sentinel-2 Images. Sustainability, 15(5):4516. https://doi.org/10.3390/su15054516

  • Al-Dosary, N, A. Aboukarima, S. Al-Hamed, M. Zayed, S. Marey and A. Kayad, 2023. Modification of Values for the Horizontal Force of Tillage Implements Estimated from the ASABE Form Using an Artificial Neural Network. Applied Sciences, 13(13):7442. https://doi.org/10.3390/app13137442

  • Kayad, A., M. Sozzi, D. Paraforos, F. Rodrigues, Y. Cohen, S. Fountas, F. Medel-Jimenez, A. Pezzuolo, S. Grigolato and F. Marinello, 2022. How many gigabytes per hectare are available in the digital agriculture era? A digitization footprint estimation. Computers & Electronics in Agriculture, 198, 107080. https://doi.org/10.1016/j.compag.2022.107080

  • Kayad, A., F. Rodrigues, S. Naranjo, M. Sozzi, F. Pirotti, F. Marinello, U. Schulthess, P Defourny and M. Weiss. 2022. Radiative transfer model inversion using high-resolution hyperspectral airborne imagery – retrieving maize LAI to access biomass and grain yield. Field crops research, 282, 108449. https://doi.org/10.1016/j.fcr.2022.108449

  • Sozzi, M., S. Cantalamessa, A. Cogato, A. Kayad, and F. Marinello. 2022. wGrapeUNIPD-DL: An open dataset for white grape bunch detection. Data in Brief, 43, 108466. https://doi.org/10.1016/j.dib.2022.108466

  • Sozzi, M., S. Cantalamessa, A. Cogato, A. Kayad, and F. Marinello. 2022. Automatic Bunch Detection in White Grape Varieties Using YOLOv3, YOLOv4, and YOLOv5 Deep Learning Algorithms. Agronomy 2022; 12(2):319. https://doi.org/10.3390/agronomy12020319

  • Kayad, A., M. Sozzi, S. Gatto, B. Whelan, L. Sartori and F. Marinello. 2021. Ten Years of Corn Yield Dynamics at Field Scale under Digital Agriculture Solutions: A Case Study from North Italy. Computers & Electronics in Agriculture, 185, 106126. https://doi.org/10.1016/j.compag.2021.106126

  • Sozzi, M., A. Kayad, F. Marinello, J. Taylor and B. Tisseyre. 2020. Comparing vineyard canopy imagery acquired from Sentinel-2 and Unmanned Aerial Vehicle (UAV) platform. OENO One, 54(2): 189-197. https://doi.org/10.20870/oeno-one.2020.54.1.2557

  • Sozzi, M., A. Kayad, S. Gobbo, A. Cogato, L. Sartori and F. Marinello. 2021. Economic Comparison of Satellite, Plane and UAV-Acquired NDVI Images for Site-Specific Nitrogen Application: Observations from Italy. Agronomy, 11(11), 2098. https://doi.org/10.3390/agronomy11112098

  • Kayad, A., D. Paraforos, F. Marinello and S. Fountas. 2020. Latest Advances in Sensor Applications in Agriculture. Agriculture, 10(8), 362. https://doi.org/10.3390/agriculture10080362

  • Kayad, A., R. Rainato, L. Picco, L. Sartori and F. Marinello. 2019. Assessing Topsoil Movement in Rotary Harrowing Process by RFID (Radio-Frequency Identification) Technique. Agriculture, 9(8):184. https://doi.org/10.3390/agriculture9080184

  • Al-Gaadi, K., A. Hasabala, E. Tola, A. Kayad, R. Madugundu, Fahad Assiri, Mohamed Edrris, Ahmed Alameen, Haroon Edrees. 2019. Impact of Center Pivot Irrigation System Uniformity on the Development of Potato Crop and Residual Soil Nitrogen. International Journal of Agricultural and Biological Engineering, 12(1): 126-131. https://ijabe.org/index.php/ijabe/article/view/3684

  • Kayad, A., M. Sozzi, S. Gatto, F. Marinello and F. Pirotti. 2019. Monitoring Within-Field Variability of Corn Yield using Sentinel-2 and Machine Learning Techniques. Remote Sensing, 11(23), 2873. https://doi.org/10.3390/rs11232873

  • Hassaballa, A., K. Al-Gaadi, E. Tola, A. Kayad, R. Madugundu, F. Assiri and B. Alblewi. 2018. Characterization of the Spatial Variability of Surface Topography and Moisture Content and its Influence on Potato Crop Yield. International Journal of Remote Sensing, 39(23): 8572-8590. https://doi.org/10.1080/01431161.2018.1488290

  • Tola, E., K. Al-Gaadi, R. Madugundu, A. Kayad, M. Edrris, H. Edrees and A. Alameen. 2018. Determining soil organic carbon concentration in agricultural fields using a handheld spectroradiometer: Implication for soil fertility measurement. International Journal of Agricultural and Biological Engineering, 11(6): 13-19. DOI: 10.25165/j.ijabe.20181106.4061

  • Madugundu, R., K. Al-Gaadi, E. Tola, A. Hassaballa and A. Kayad. 2018. Utilization of Landsat-8 data for the estimation of carrot and maize crop water footprint under the arid climate of Saudi Arabia. PLoS ONE, 13(2): 1-20. https://doi.org/10.1371/journal.pone.0192830

  • Tola, E., K. Al-Gaadi, R. Madugundu, A. Zeyada, A. Kayad and C. Biradar. 2017. Characterization of spatial variability of soil physicochemical properties and its impact on Rhodes grass productivity. Saudi Journal of Biological Sciences, 24(2): 421-429. https://doi.org/10.1016/j.sjbs.2016.04.013

  • Hassaballa A., A. Kayad, A. Alameen, M. Edrris, H. Edrees, M. Bushara. 2017. Crop vigor fluctuation as affected by irrigation water shortage Case study: Rahad Agricultural Scheme, Sudan. Advances in Bioresearch, 8(6): 147-153. https://soeagra.com/abr/abr_nov2017/22.pdf

  • Madugundu, R., K. Al-Gaadi, E. Tola, A. Kayad and C. Jha. 2017. Estimation of the gross primary production of irrigated maize using Landsat-8 imagery and Eddy Covariance flux tower data. Saudi Journal of Biological Sciences, 24(2): 410-420. https://doi.org/10.1016/j.sjbs.2016.10.003

  • Zeyada, A., K. Al-Gaadi, E. Tola, R. Madugundu and A. Kayad. 2017. Impact of Soil Firmness and Tillage Depth on Irrigated Maize Silage Performance. Applied Engineering in Agriculture, 33(4): 491-498. doi: 10.13031/aea.11641

  • Madugundu, R., K. Al-Gaadi, E. Tola, A. Kayad, A. Hassaballa and V. Patil. 2017. Seasonal dynamics of surface energy fluxes over a center pivot irrigated cropland in Saudi Arabia. Journal of Environmental Biology, 38(5): 743-751. http://doi.org/10.22438/jeb/38/5/MRN-383

  • Kayad, A., K. Al-Gaadi, E. Tola, R. Madugundu. 2016. Assessing the Spatial Variability of Alfalfa Yield Using satellite imagery and ground-based data. PLoS ONE, 11(6): 1-15. https://doi.org/10.1371/journal.pone.0157166

  • Kayad, A. and A. Zeyada. 2016. Impact of the baler chamber pressure on alfalfa bale density and penetration resistance. Advances in Bioresearch, 7(4): 223-227. https://soeagra.com/abr/abrjuly2016/33aa.pdf

  • Al-Gaadi, K., A. Hasabala, E. Tola, A. Kayad, R. Madugundu. 2016. Prediction of potato crop yield using precision agriculture techniques. PLoS ONE, 11(9): 1-16. https://doi.org/10.1371/journal.pone.0162219

  • Kayad, A., K. Al-Gaadi, E. Tola, R. Madugundu and A. Zeyada. 2015. Performance Evaluation of Hay Yield Monitoring System in Large Rectangular Baler. American-Eurasian J. Agric. & Environ. Sci., 15(6): 1025-1032, 2015. https://www.idosi.org/aejaes/jaes15(6)15/10.pdf

Non-Peer Reviewed

  • Kayad, A (2024). New tech helps ag: Using drones and satellites to help Tulelake farmers grow crops. Basin Ag News. 03-21-2024. https://www.heraldandnews.com/basin_ag_news/new-tech-helps-ag-using-drones-and-satellites-to-help-tulelake-farmers-grow-crops/article_f10456f6-e7e9-11ee-be2d-97119a253a2b.html
  • Kayad, A (2023). New ag engineer advisor at UC Intermountain Research and Extension Center. Basin Ag News. 04-20-2023. https://www.heraldandnews.com/basin_ag_news/new-ag-engineer-advisor-at-uc-intermountain-research-and-extension-center/article_68d91ad4-dfe1-11ed-bfe3-6b4b75f9ef72.html

  • Kayad, A., A. Putman, E. Scudiero and M. McGiffen. 2023. Weed Detection Through Drone Imaging and Time Series Analysis for Pepper. Ag. Robotics Forum (FIRA). Salinas, California, United States. 19 – 21 September 2023.

  • Kayad, A., A. Putman, E. Scudiero, H. Dingilian and M. McGiffen. 2022. A simple weed detection technique through drone images for transplanted vegetables. American Annual Agronomy Meeting. Baltimore, Maryland, United States. 6 – 9 November 2022.

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