Liam Duncan
Papers
1
Total Citations
19
H-Index
1
About
Liam Duncan is a researcher at the forefront of precision agriculture, specializing in low-cost sensing technologies for sustainable weed management. His most cited work, "Weed Warden: A low-cost weed detection device implemented with spectral triad sensor for agricultural applications" (2022, 19 citations), introduces an innovative, affordable spectral sensor that distinguishes weeds from crops using specific light wavelengths. This breakthrough directly addresses the environmental and economic costs of blanket herbicide application and tillage, offering farmers a practical, real-time detection tool for robotic weeding systems. By prioritizing accessibility and simplicity, Duncan’s research bridges the gap between advanced agri-tech and on-farm feasibility, reducing chemical usage while protecting crop yields. His work has been recognized for its potential to democratize smart farming, making precision weeding viable for small-to-medium-scale operations. With growing citations, Duncan is establishing himself as a key contributor to the development of environmentally responsible, data-driven agricultural solutions that empower farmers to manage resources more efficiently.
Research Focus
Key Achievements
Top Papers
- 1