Jon Glenn Omholt Gjevestad
Papers
6
Total Citations
151
H-Index
5
About
Jon Glenn Omholt Gjevestad is a leading researcher in precision agriculture and field robotics, with a focus on developing autonomous navigation and perception systems for sustainable food production. His major contributions center on creating robust, low-cost guidance solutions for agricultural robots operating in complex environments like strawberry fields and polytunnels. Notably, his pioneering work on adaptive multi-ROI crop row guidance (61 citations) and efficient row-following robots (37 citations) has set benchmarks for autonomous navigation without explicit waypoints. Gjevestad’s research also advances 3D mapping and localization using LiDAR for large-scale farms (26 citations), and he has innovated robot-supervised learning for semantic segmentation of crop rows (12 citations), reducing the need for manual labeling. His development of Agri-Cost-Maps integrates environmental constraints into navigation systems (10 citations), while his work on video-based human activity classification (5 citations) enables safe human-robot collaboration during harvesting. Through these achievements, Gjevestad has significantly enhanced the reliability and autonomy of agricultural robots, contributing to more efficient and environmentally responsible farming practices.
Research Focus
Key Achievements
Top Papers
- 1Autonomous Crop Row Guidance Using Adaptive Multi-ROI in Strawberry Fields61 citations · 2020
- 2
- 3Online 3D Mapping and Localization System for Agricultural Robots26 citations · 2019
- 4Robot-supervised Learning of Crop Row Segmentation12 citations · 2021
- 5
- 6