Isha Kansal
Papers
2
Total Citations
41
H-Index
2
About
Isha Kansal is a rising researcher at the intersection of robotics, deep learning, and the Internet of Things (IoT), with a focus on transforming real-world infrastructure and agriculture. Her work pioneers the integration of IoT-Fog computing with robotics to solve critical, practical problems. In her highly cited 2023 paper (26 citations), she developed a robust classification system for weed detection in agricultural images, tackling the challenging conditions of hazy and normal seasons—a key step toward fully mechanized, precision farming. Complementing this, her 2023 study on the ROAD system (15 citations) introduces a robotics-assisted data collection and deep learning vision framework for identifying cracks on diverse surfaces, directly enhancing road safety and infrastructure reliability. By fusing autonomous data gathering with advanced computer vision, Kansal’s contributions offer scalable, intelligent solutions for environmental monitoring and civil maintenance. Her work demonstrates a clear trajectory of impact, showing how robotic perception can address pressing global challenges in food security and urban safety.
Research Focus
Key Achievements
Top Papers
- 1
- 2