AI and robotics for precision agriculture using satellites and UAVs
This project will investigate the use of Robotics, Deep Learning, and other Artificial Intelligence technologies to estimate soil properties using aerial imagery from satellites and UAVs.
Start date1 July 2022
Funding sourceUniversity of Surrey
This research project has funding attached. Funding for this project is available citizens to students worldwide.
- Full UK/EU tuition fee covered
- Stipend at £15,609 p.a.
- Personal Computer (provided by the department).
This project will be under the supervision of Dr. Oscar Mendez, who is a Robotics and Artificial Intelligence researcher at the Centre for Vision, Speech and Signal Processing (CVSSP) and Dr. Belen Marti-Cardona, who is a researcher at the Centre for Environmental Health and Engineering.
The project will investigate the use of Robotics, Artificial Intelligence, Computer Vision and Deep Learning to estimate soil properties for Precision Agriculture (PA). PA is the practice of using data and AI to aid in agriculture management and sustainability.
Research will aim to deliver algorithms and/or prototypes which can use satellite and UAV technology to capture multi-spectral images and leverage this information to enable PA. You will be using and developing state-of-the-art Artificial Intelligence (AI), Robotics and Computer Vision technology and joining a thriving research community with ongoing projects for Autonomous Vehicles, Robotics and AI.
Related linksCentre for Vision, Speech and Signal Processing (CVSSP) Robotics research
All applicants should have (or expect to obtain) a first-class degree in a numerate discipline (mathematics, science or engineering) or MSc with Distinction (or 70% average) and a strong interest in pursuing research in this field. Additional experience which is relevant to the area of research is also advantageous.
English language requirements
IELTS Academic 6.5 or above (or equivalent) with 6.0 in each individual category.
How to apply
Applications should be submitted via the Centre for Vision, Speech and Signal Processing programme page. Please clearly state the studentship title and supervisor on your application.
For enquiries contact Dr Oscar Mendez indicating your areas of interest and including your CV with qualification details (copies of transcripts and certificates). Non-native English speakers will be required to have IELTS 6.5 or above (or equivalent) with no sub-test of less than 6. Shortlisted applicants will be contacted directly to arrange a suitable time for an interview. For further information about our research portfolio and how to apply visit: www.surrey.ac.uk/cvssp.
Read our studentship FAQs to find out more about applying and funding.