3 papers
cs.RO2025
UAV-based path planning for efficient localization of non-uniformly distributed weeds using prior knowledge: A reinforcement-learning approach
Rick van Essen, Eldert van Henten, Gert Kootstra
UAVs are becoming popular in agriculture, however, they usually use time-consuming row-by-row flight paths. This paper presents a deep-reinforcement-learning-based approach for pat…
cs.RO2025
Adaptive path planning for efficient object search by UAVs in agricultural fields
Rick van Essen, Eldert van Henten, Lammert Kooistra +1
This paper presents an adaptive path planner for object search in agricultural fields using UAVs. The path planner uses a high-altitude coverage flight path and plans additional lo…
cs.RO2025
A drone that learns to efficiently find non-uniformly distributed objects in agricultural fields: from simulation to the real world
Rick van Essen, Eldert van Henten, Gert Kootstra
Drones are promising for data collection in precision agriculture but are limited by battery capacity. Drone paths are usually planned using full coverage planners, even though thi…