Salik Ram Khanal
University of Trás-os-Montes and Alto Douro, Washington State University, INESC TEC
Papers
7
Total Citations
65
H-Index
5
About
Salik Ram Khanal is a researcher at the forefront of applying computer vision and deep learning to solve real-world challenges in agriculture, assistive technology, and industrial quality control. His work focuses on developing autonomous systems that enhance precision and efficiency, from robotic harvesting to social support for the elderly. Khanal’s major contributions include pioneering machine vision for early-stage apple flower detection to enable precision thinning and pollination (17 citations), and creating a YOLOv5-based strawberry detection system for open-field robotic harvesting (6 citations). He has also advanced agricultural robotics with a deep-learning method for detecting eyes on potato tubers to enable high-throughput pathogen sampling (8 citations). Beyond agriculture, Khanal has designed autonomous systems to support social activity in elderly populations (24 citations), addressing critical issues in aging and well-being. His work on fabric hairiness analysis using computer vision (6 citations) further demonstrates his versatility. With over 60 total citations across these key papers, Khanal’s research is shaping the future of smart, automated systems that improve productivity and quality of life.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7