Robotics in agriculture: sensing

We are currently dealing with new AI techniques for crop phenotyping and characterization. Most problems are related with deep learning techniques applied to orchards, using sensors such as cameras, LiDARs (light detection and ranging), GNSS (global navigation satellite system) and IMU (inertial measurement unit). Processing is integrated via ROS environment. Several problems are offered under this topic. Contact: f.auat@hw.ac.uk.

requirements: ROS, experience implementing deep learning architectures.