KEYWORD |
Drone-based spraying system for precision agriculture application - In collaboration with Mavtech @ www.mavtech.eu
Thesis in external company
keywords DRONES, ROBOTICS, TRAJECTORY PLANNING, UAV
Reference persons GIORGIO GUGLIERI, STEFANO PRIMATESTA
External reference persons Ing. Gianluca Ristorto (gianluca.ristorto@mavtech.eu)
Research Groups 08- Dinamica, controllo e simulazione del volo
Thesis type SIMULATIVE AND EXPERIMENTAL
Description The proposed technology is designed to be applied to different types of drones used for aerial spraying in precision agriculture applications. It is important in the agricultural sector to identify and develop technological solutions that allow a targeted release of phytosanitary substances, limiting the effects of drift, and at the same time a drastic reduction in the use of pesticides in order to reduce environmental pollution and safeguard the 'ecosystem.
Required skills Basic knowledge of ROS/ROS2 and Gazebo
Programming skills in C++ (preferred) and Python
Deadline 18/12/2024
PROPONI LA TUA CANDIDATURA