Papers
3
Total Citations
29
H-Index
2
About
Hammed Obasekore is a researcher at the forefront of agricultural robotics and AI-driven pest management. His work centers on developing intelligent robotic systems that can autonomously detect and neutralize crop-threatening insects, directly addressing the challenge of food security. Obasekore’s most significant contribution is his deep learning framework for the early detection of the fall armyworm (*Spodoptera frugiperda*), a devastating global pest. By enabling robots to identify larvae at their earliest, most vulnerable stage using stereo camera data, his 2023 study (20 citations) offers farmers a powerful tool for precise, early intervention, potentially saving over 40% of crops from destruction. This builds on his foundational 2019 design of an insect-killing robot (7 citations), which established the core detection and neutralization algorithms. Demonstrating versatility, Obasekore has also applied his expertise in machine vision to the medical field, developing a robotic assistance system for COVID-19 screening using chest X-rays. His work is paving the way for a new generation of autonomous, precision agriculture tools that promise to reduce pesticide use and protect global harvests.
Research Focus
Key Achievements
Top Papers
- 1
- 2Insect Killing Robot for Agricultural Purposes7 citations · 2019
- 3Robotic Assistance in Radiology: A Covid-19 Scenario2 citations · 2023