Papers
3
Total Citations
21
H-Index
2
About
Maryam Behjati is a rising researcher at the forefront of digital agriculture and precision farming, specializing in robotic perception and autonomous navigation for small-scale farming systems. Her work directly addresses critical challenges in sustainable agriculture, including the inefficiencies and environmental costs of manual weeding and herbicide use. In her highly cited 2024 paper, "Sensing and Perception in Robotic Weeding," she systematically analyzes the innovations and limitations of robotic vision systems, providing a foundational roadmap for the industry’s shift toward digital solutions. Behjati has also made significant technical contributions to field robotics, developing an integrated H∞ robust adaptive controller for double-Ackermann steering robots. This work, cited 7 times, solves the practical problem of precise path tracking and rapid turning in narrow orchard row-ends, a key hurdle for autonomous navigation under real-world disturbances. Her contributions were recognized through her involvement in the 10th Asian-Australasian Conference on Precision Agriculture, where she helped curate a collection of abstracts highlighting transformative technologies in smart farming. With over 20 combined citations in just one year, Behjati is establishing herself as a vital voice in the engineering of next-generation, sustainable agricultural robots.
Research Focus
Key Achievements
Top Papers
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