Journals
M. E. Karim, M. A. S. Rafi, V. Senyurek, A. Adeli, H. Yanbo, J.E. Ball, A.C. Gurbuz, "Machine Learning Models for Field Scale Soil Moisture Mapping via UAS-based GNSS-R" in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2026. (Submitted).
M. A. S. Rafi, V. Senyurek, A. Adeli, Y. Huang, J. E. Ball, and A. C. Gurbuz, “Investigation of machine learning based techniques for crop yield estimation of corn and cotton using multi-sensor data fusion,” Journal of Agriculture and Food Research, vol. 26, p. 102676, 2026, doi: 10.1016/j.jafr.2026.102676. Article
M. M. Farhad, V. Senyurek, M. A. S. Rafi* et. al "Integrating UAS-Based GNSS-R, LiDAR, and Multispectral Data for Soil Moisture Estimation: Summary of Results From a Three-Year-Long Field Campaign," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 16896-16915, 2025, doi: 10.1109/JSTARS.2025.3580114. (*Co-first Author) Article
M. M. Farhad, A. M. Alam, S. Biswas, M. A. S. Rafi, A. C. Gurbuz and M. Kurum, "SDR-Based Dual Polarized L-Band Microwave Radiometer Operating From Small UAS Platforms," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 9389-9402, 2024, doi: 10.1109/JSTARS.2024.3394054. Go to Article
M. A. S. Rafi, V. Senyurek, A. Adeli, J.E. Ball, A.C. Gurbuz, "Automatic Weed Detection in Corn (Maize) Field utilizing RGB Video from Unmanned Aerial Vehicle and ML" in European Journal of Agronomy, 2026. (In Preparation)
Conferences
M. A. S. Rafi, Volkan Senyurek, John E Ball, Ali C. Gurbuz, " Comparative analysis of feature selection techniques to identify a set of optimal features for crop yield estimation using UAS-based multi-sensor data.," Proc. SPIE 13475, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping X, 2025.
M. M. Farhad, V. Senyurek, M. A. S. Rafi, A. Adeli, M. Kurum and A. C. Gurbuz, "Preliminary Results from Three Years of UAS-Based GNSS-R Field Campaign Over Agricultural Fields For Field-Scale Soil Moisture Retrieval," IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 4477-4481, doi: 10.1109/IGARSS53475.2024.10641343.
M. A. S. Rafi, V. Senyurek, and A. C. Gurbuz "Performance assessment of crop line detection in corn field from unmanned aerial vehicle video", Proc. SPIE 13053, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping IX, 130530B (7 June 2024); https://doi.org/10.1117/12.3013501.
V. Senyurek, M. E. Karim, M. A. S. Rafi, J. Ball and A. Gurbuz, “UAS-based GNSS-R, LiDAR, and Multispectral Data Fusion for Field Scale Soil Moisture Estimation” AGU Fall Meetings, 2025, H52B - Advances in Innovative Soil Moisture Monitoring Across Hierarchical Scales II (Hydrology).
M. M. Farhad, A. M. Alam, S. Biswas, M. A. S. Rafi, A. C. Gurbuz and M. Kurum, "SDR-Based Dual Polarized L-Band Microwave Radiometer Operating From Small UAS Platforms," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 9389-9402, 2024, doi: 10.1109/JSTARS.2024.3394054.
M. Kurum, P. Peranich, M. A. S. Rafi, M. M. Farhad and D. Boyd, "Recent Results from P-Band Signals of Opportunity Receiver Deployed on a Multi-Copter Uas Platform," IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022, pp. 5196-5199, doi: 10.1109/IGARSS46834.2022.9883795.
I. A. Ebu, F. Islam, M. A. S. Rafi, M. Rahman, U. Iqbal, J. Ball et al., "Improved Distance Estimation in Dynamic Environments through Multi-Sensor Fusion with Extended Kalman Filter," SAE Technical Paper 2025-01-8034, 2025, https://doi.org/10.4271/2025-01-8034.
Iffat Ara Ebu, Fahmida Islam, M. A. S. Rafi, Mahfuzur Rahman, Umar Iqbal, and John E. Ball "Improved distance estimation in dynamic environments under sensor noise and missed detections through EKF-based multisensor fusion", Proc. SPIE 13479, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIV, 1347907 (28 May 2025); https://doi.org/10.1117/12.3054041