Daniel T. Brunner
Papers
1
Total Citations
12
H-Index
1
About
Daniel T. Brunner is a researcher focused on precision agriculture and robotics, with a particular emphasis on developing intelligent systems for orchard management. His most-cited work, "Modelling environment for an electrical driven selective sprayer robot in orchards" (2017, 12 citations), introduces a simulation framework for an autonomous sprayer robot that can selectively target crops, reducing chemical usage and environmental impact. This contribution addresses a critical challenge in sustainable farming by integrating electrical propulsion with targeted spraying algorithms. Brunner's modeling approach provides a foundation for designing and testing robotic systems in complex orchard environments, bridging the gap between theoretical automation and practical agricultural applications. While his citation count reflects a niche but growing field, his work is notable for its direct relevance to eco-friendly farming technologies and the advancement of precision agriculture. Brunner's research supports the broader goal of minimizing resource waste in food production, making him a key contributor to the development of smart, sustainable agricultural robotics.
Research Focus
Key Achievements
Top Papers
- 1