Papers

5

Total Citations

113

H-Index

4

About

Ivar Lund’s research lies at the intersection of precision agriculture, robotics, and computer vision, with a focus on revolutionizing herbicide application. His most influential work, “Application Accuracy of a Machine Vision-controlled Robotic Micro-dosing System” (2007, 83 citations), established him as a pioneer in targeted weed control. Lund demonstrated that a robotic system could identify individual weed seedlings and deliver herbicide droplets with remarkable precision—using just 1 gram of glyphosate per plant to achieve 95% efficacy, equivalent to only 1 gram per hectare at a density of 100 weeds per square meter. This represented a dramatic reduction in chemical use compared to conventional spraying. His subsequent studies on real-time herbicide application in seed lines and autonomous systems for plant protection further refined these techniques, while his development of a fully automated high-resolution mechanical spray patternator (2012) provided a novel tool for analyzing nozzle distribution. Lund’s work has been instrumental in advancing the vision of ultra-low-dose, site-specific weed management, offering a sustainable path forward for modern agriculture by minimizing environmental impact without sacrificing crop protection efficacy.

Research Focus

Key Achievements

4
H-Index
5
Papers
113
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Application Accuracy of a Machine Vision-controlled Robotic Micro-dosing System
83 citations · 2007
📈 Most Prolific Year: 2007 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Instituto de Ciencias Agrarias, University of Southern Denmark

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago