Kristin Kaspersen
Papers
2
Total Citations
85
H-Index
2
About
Kristin Kaspersen’s research centers on precision agriculture and industrial machine vision, with a focus on applying image processing and structured light techniques to solve real-world problems. Her most impactful contribution is in the field of site-specific weed management, where she pioneered machine vision methods for detecting weeds in cereal crops. Her 2011 paper on this topic, which has garnered 81 citations, laid the groundwork for reducing herbicide use through automated, targeted treatment—a key step toward sustainable farming. In parallel, Kaspersen developed an in-line inspection system for car parts using structured light projection, combining Gray code and phase shifting to replace manual quality control. This work, though less cited, demonstrates her versatility in translating vision technology from agriculture to manufacturing. Her achievements highlight a career dedicated to bridging computer vision and practical automation, making her a notable figure in both agricultural robotics and industrial quality assurance.
Research Focus
Key Achievements
Top Papers
- 1Towards machine vision based site-specific weed management in cereals81 citations · 2011
- 2