Thusnavis Bella Mary

Papers

Total Citations

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About

Thusnavis Bella Mary is a researcher at the forefront of intelligent automation, with key contributions in precision agriculture and healthcare technology. Her work centers on applying Internet of Things (IoT) and machine learning to solve real-world problems, particularly in weed detection and removal for sustainable farming. Her most-cited paper, "IoT Based Weed Detection and Removal in Precision Agriculture" (2023, 7 citations), introduces a smart system that identifies and removes undesirable plants competing for nutrients and water, addressing a critical bottleneck in automated weeding. This work demonstrates her ability to combine sensor networks with image processing to improve crop yields and reduce manual labor. She also explores the transformative potential of connected devices in medicine through "Internet of Medical Things for Health Care Applications: Future Trends and Challenges" (2021, 2 citations), which outlines how low-cost, internet-based devices can revolutionize patient monitoring and lower healthcare costs. By bridging the gap between agricultural robotics and digital health, Bella Mary is shaping a future where IoT-driven systems enhance efficiency, sustainability, and accessibility across critical sectors.