Fruit characterization using vision systems and deep learning

This project is focused on implementing cutting edge deep learning strategies to characterise fruits from groves. To this end, it is expected the acquisition of datasets from local farms. It is expected the implementation of several learning architectures (mostly available in Python or Matlab), and to obtain the most relevant metrics regarding the functionalities of the system. This work has high impact in robotics and percpetion in agricultural processes.

Required skills: Matlab/Python, image processing, machine learning

Supervisor name: 
Fernando Auat Cheein
Supervisor email addresses: 
f.auat@hw.ac.uk