Aman Mahore
Papers
1
Total Citations
8
H-Index
1
About
Aman Mahore is a researcher at the forefront of agricultural robotics, focusing on the integration of automation and sensor technologies for precision weed management. His most cited work, a comprehensive 2020 review on robotics-automation and sensor-based approaches in weed detection and control, has garnered 8 citations and serves as a foundational resource for the field. In this review, Mahore systematically evaluates how computer vision, machine learning, and robotic actuators are revolutionizing non-chemical weed control, addressing critical challenges in sustainable agriculture. His contributions bridge the gap between engineering and agronomy, offering practical insights into real-time weed identification and targeted removal. Mahore’s research is particularly notable for its emphasis on reducing herbicide reliance while improving crop yields, a pressing issue in modern farming. By synthesizing advances in sensors and automation, his work has influenced both academic research and practical applications in smart farming. Mahore continues to explore novel sensor integration and autonomous navigation systems, positioning him as an emerging voice in the development of environmentally conscious agricultural technologies.
Research Focus
Key Achievements
Top Papers
- 1