Adibuzzaman Rahi
Papers
2
Total Citations
14
H-Index
2
About
Adibuzzaman Rahi is a rising researcher at the forefront of precision agriculture and agricultural robotics. His work centers on leveraging computer vision and sensor fusion to solve critical challenges in autonomous farming, particularly in crop row detection and weed management. His most cited paper, "Real-time crop row detection using computer vision- application in agricultural robots" (2024, 11 citations), directly addresses the difficulty of enabling robots to navigate reliably under variable field conditions, such as changing weather and crop growth stages. Building on this, his recent work, "Decision-Level Multi-Sensor Fusion to Improve Limitations of Single-Camera-Based CNN Classification in Precision Farming: Application in Weed Detection" (2025, 3 citations), tackles the pressing need for environmentally sustainable weed control in the multi-billion-dollar corn industry. By fusing data from multiple sensors, Rahi’s approach overcomes the limitations of single-camera systems, promising more accurate and robust weed identification. His contributions are vital for advancing autonomous, eco-friendly farming practices, making him a key voice in the next generation of agricultural technology.
Research Focus
Key Achievements
Top Papers
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- 2