Subhaprada Dash
Papers
2
Total Citations
22
H-Index
2
About
Subhaprada Dash is an emerging researcher at the forefront of precision agriculture and intelligent weed management technologies. Their work focuses on integrating advanced machine learning frameworks and robotics into sustainable crop production systems, with a particular emphasis on reducing chemical dependency in agriculture. Dash's most impactful contribution is a pioneering smart robotic system guided by the YOLOv5 machine learning framework, designed to enable precise, minimal herbicide application in rice cultivation. This innovative work, which has already accumulated 19 citations since its 2025 publication, addresses longstanding inefficiencies in conventional weed control methods, demonstrating how artificial intelligence can meaningfully transform field-level agricultural practices. Complementing this, Dash has authored a comprehensive review of cutting-edge weed control technologies for field crops, contextualizing modern solutions within the broader challenges of population growth, shrinking arable land, and anthropogenic climate change. This scholarly synthesis reflects a researcher committed not only to technological innovation but also to understanding the systemic pressures driving the need for smarter agricultural interventions. With a growing citation record and contributions spanning both applied robotics and critical literature review, Subhaprada Dash represents a promising voice in the global movement toward precision, sustainable, and technologically-driven agriculture.
Research Focus
Key Achievements
Top Papers
- 1
- 2Review of the cutting edge technologies for weed control in field crops3 citations · 2024