Morten Stigaard Laursen
Papers
4
Total Citations
224
H-Index
3
About
Morten Stigaard Laursen is a leading researcher in precision agriculture and autonomous field robotics, with a focus on reducing environmental impact through intelligent sensing and targeted intervention. His work centers on developing and testing UAV and ground-based mapping systems that use LiDAR sensors to create detailed 3D point clouds of agricultural fields, enabling accurate estimation of crop biomass and canopy height. Laursen’s most influential contribution is his 2017 paper on designing a UAV mapping system for agricultural surveying, which has garnered 182 citations and established a foundational approach for aerial crop monitoring. He has also advanced selective herbicide application, notably through a 2016 study on a dicotyledon weed quantification algorithm for maize crops (33 citations), which supports EU regulatory goals by minimizing chemical use. His early work on autonomous precision spraying with a novel cell spray implement on an Armadillo tool carrier (2013) demonstrated the practical potential of service robots in biological production. Laursen’s research bridges sensor design, field robotics, and sustainable farming, offering scalable solutions for modern agriculture’s environmental and economic challenges.
Research Focus
Key Achievements
Top Papers
- 1Designing and Testing a UAV Mapping System for Agricultural Field Surveying182 citations · 2017
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