About this project
Applications are invited for a PhD student to work on a project focusing on smart sensors in sustainable agricultural production. The project is part of a cluster of PhD projects entitled Sustainable Terrestrial and Maritime Food Systems: Environmental Technologies and their Implications. This particular project will look at the integration of smart sensors reading a wide range of physical variables, e.g., water table levels, rainfall, atmospheric pressure, temperature, crop luminosity, soil quality, etc. Use of this data has the potential to increase agricultural efficiency and reduce environmental impact. A combination of Machine Learning (ML) and Artificial Intelligence (AL) will combine this continuous stream of data with external data, such as highly accurate weather forecasts, and convert it into quality information in real-time to create tools which will inform farmers’ operational decisions in relation to soil and crop management.
The research aims of this project are:
- To investigate the use of sensors for measuring crop quality
- To develop a centralised AI/ML algorithm for making management recommendations to farmers
- To investigate the use of Block Chain for secure and trustworthy Federated Distributed Learning and develop federated AI for the application
The successful candidate will be based on the University of Hull campus and will be provided with physical workspace and the specific equipment and resources needed for their research. The successful student will benefit from joining a collaborative, multidisciplinary and nurturing environment, and will be provided with excellent opportunities for external networking. We will hold regular meetings with the entire cluster, with opportunities to present and discuss research, invite internal and external speakers and collaborators and foster networking.
For informal inquiries, please contact Dr Chandrasekhar Kambhampatior Dr Muhammad Khalid.
Official Link : Click Here💥
.png)
0 Comments