The augmented agronomist: Synthesis of AI, ML and robotics to assist decision support

October 2018 – September 2022

George Onoufriou

With recent advances in Artificial Intelligence and Machine Learning and maturity gained in many robotic applications and domains, this project sets out to provide agronomists with dedicated technological support in assessment and decision making.

The scientific questions addressed with this PhD project are mainly:

  • How can a mobile robotic platform, equipped with multi-modal sensing, be effectively used by a remote agronomist to assess a situation and make decisions?
  • How can AI and ML technology be employed to support decision-making?
  • What is the performance of different AI and ML techniques in this scenario, and which are methods are well-suited?

The project is closely linked with the RASberry project ( and will have access to its software and hardware resources to minimise risks and maximise synergies.

Research progress

George Onoufriou Final Thesis