Selected Peer-Reviewed Articles
2024
Rayamajhi, A., Jahanifar, H., & Mahmud, M. S. (2024). Measuring ornamental tree canopy attributes for precision spraying using drone technology and self-supervised segmentation. Computers and Electronics in Agriculture, 225, 109359. Article Link.
2023
Mahmud, M. S., He, L., Zahid, A., Heinemann, P., Choi, D., Krawczyk, G., & Zhu, H. (2023). Detection and infected area segmentation of apple fire blight using image processing and deep transfer learning for site-specific management. Computers and Electronics in Agriculture, 209, 107862. Article Link.
Mahmud, M. S., He, L., Heinemann, P., Choi, D., & Zhu, H. (2023). Unmanned aerial vehicle based tree canopy characteristics measurement for precision spray applications. Smart Agricultural Technology, 4, 100153. Article Link.
Mahmud, M. S., Zahid, A., & Das, A. K. (2023). Sensing and Automation Technologies for Ornamental Nursery Crop Production: Current Status and Future Prospects. Sensors, 23(4), 1818. Article Link.
2022
Mahmud, M. S., Zahid, A., He, L., Zhu, H., Choi, D., Krawczyk, G., & Heinemann, P. (2022). Development of an Automatic Airflow Control System for Precision Sprayers Based on Tree Canopy Density. Journal of the ASABE, 65(6), 1225-1240. Article Link.
He, L., Zahid, A., & Mahmud, M. S. (2022). Robotic Tree Fruit Harvesting: Status, Challenges, and Prosperities. In Sensing, Data Managing, and Control Technologies for Agricultural Systems (pp. 299-332). Cham: Springer International Publishing. Article Link.
Zahid, A., Mahmud, M. S., He, L., Schupp, J., Choi, D., & Heinemann, P. (2022). An apple tree branch pruning analysis. HortTechnology, 32(2), 90-98. Article Link.
Shin, J., Mahmud, M. S., Rehman, T. U., Ravichandran, P., Heung, B., & Chang, Y. K. (2022). Trends and prospect of machine vision technology for stresses and diseases detection in precision agriculture. AgriEngineering, 5(1), 20-39. Article Link.
2021
Mahmud, M. S., Zahid, A., He, L., Choi, D., Krawczyk, G., & Zhu, H. (2021). LiDAR-sensed tree canopy correction in uneven terrain conditions using a sensor fusion approach for precision sprayers. Computers and Electronics in Agriculture, 191, 106565. Article Link.
Zahid, A., Mahmud, M. S., He, L., Heinemann, P., Choi, D., & Schupp, J. (2021). Technological advancements towards developing a robotic pruner for apple trees: A review. Computers and Electronics in Agriculture, 189, 106383. Article Link.
Mahmud, M. S., Zahid, A., He, L., Choi, D., Krawczyk, G., Zhu, H., & Heinemann, P. (2021). Development of a LiDAR-guided section-based tree canopy density measurement system for precision spray applications. Computers and Electronics in Agriculture, 182, 106053. Article Link.
Mahmud, M. S., Zahid, A., He, L., & Martin, P. (2021). Opportunities and possibilities of developing an advanced precision spraying system for tree fruits. Sensors, 21(9), 3262. Article Link.
Mahmud, M. S., Zahid, A., Das, A. K., Muzammil, M., & Khan, M. U. (2021). A systematic literature review on deep learning applications for precision cattle farming. Computers and Electronics in Agriculture, 187, 106313. Article Link.
2020
Mahmud, M. S., Zaman, Q. U., Esau, T. J., Chang, Y. K., Price, G. W., & Prithiviraj, B. (2020). Real-time detection of strawberry powdery mildew disease using a mobile machine vision system. Agronomy, 10(7), 1027. Article Link.
Zahid, A., Mahmud, M. S., He, L., Choi, D., Heinemann, P., & Schupp, J. (2020). Development of an integrated 3R end-effector with a cartesian manipulator for pruning apple trees. Computers and Electronics in Agriculture, 179, 105837. Article Link.
2019
Mahmud, M. S., Zaman, Q. U., Esau, T. J., Price, G. W., & Prithiviraj, B. (2019). Development of an artificial cloud lighting condition system using machine vision for strawberry powdery mildew disease detection. Computers and Electronics in Agriculture, 158, 219-225. Article Link.
Rehman, T. U., Mahmud, M. S., Chang, Y. K., Jin, J., & Shin, J. (2019). Current and future applications of statistical machine learning algorithms for agricultural machine vision systems. Computers and electronics in agriculture, 156, 585-605. Article Link.
Chang, Y. K., Mahmud, M. S., Shin, J., Nguyen-Quang, T., Price, G. W., & Prithiviraj, B. (2019). Comparison of image texture based supervised learning classifiers for strawberry powdery mildew detection. AgriEngineering, 1(3), 434-452. Article Link.