Jahan Hassan
Papers
1
Total Citations
10
H-Index
1
About
Jahan Hassan is a leading researcher at the intersection of artificial intelligence, precision agriculture, and environmental sustainability. Her work primarily focuses on developing intelligent systems for automated weed management, combining aerial image processing with autonomous precision spraying technologies. In her highly cited 2025 overview paper, which has already garnered 10 citations, Hassan synthesizes cutting-edge approaches that allow drones and autonomous vehicles to distinguish crops from weeds in real time, enabling targeted herbicide application. This research directly addresses the global challenge of reducing chemical overuse in agriculture, cutting production costs while minimizing ecological damage. By integrating computer vision, machine learning, and robotics, Hassan’s contributions provide a practical roadmap for transitioning from blanket spraying to site-specific weed control. Her work is particularly notable for bridging the gap between theoretical AI models and deployable agricultural solutions, making her a key voice in the movement toward sustainable, data-driven farming. For students and researchers interested in AI for environmental good, Hassan’s research offers a compelling example of how intelligent systems can transform one of humanity’s oldest industries.
Research Focus
Key Achievements
Top Papers
- 1