Smart Agri-Systems

Smart Agri-Systems provides multi-discipline, systems-based solutions to help industry navigate the complex future challenges for sustainable development of global food production. Find out more by downloading our brochure about Smart Agri-Systems (PDF).

Farmers and agribusinesses face multiple competing demands:

  • increasing efficiency and productivity
  • ensuring food is safe and nutritious
  • adapting to climate change
  • maintaining high environmental and animal welfare standards
  • managing fluctuating prices and trading patterns

Meeting these challenges, while still running a profitable and sustainable business, requires complex decision-making, drawing on evidence from the whole supply chain.

We aim to help farms and companies, large and small, develop their competitive advantage and increase their business value. We will work with industry partners to assess the challenge they face and develop a research project to provide a solution. We will draw on expertise and technology from across the University. We can also identify and source external funding to support the project.

Our partners can use the University of Leeds farm as a test bed site. The University farm has been developed into a smart farm with advanced monitoring and sensing technology, data capture and Internet of Agri-Things. It can be used in commercially relevant and cutting-edge agricultural, ecological, Earth and environmental research.

Or we can bring the research to a location of your choice – we will work closely with our partners on a case-by-case basis to develop the best solution for the challenge.

Research expertise in Smart Agri-Systems at the University of Leeds 

Farm production

  • livestock production
  • health and welfare 
  • optimisation of crop growth 
  • productivity and pathogen resilience 
  • precision nutrition


  • artificial intelligence
  • robots 
  • sensors 
  • imaging
  • machine learning 
  • automatic control
  • 5G telemetrics and data transmission
  • high-speed computing
  • big data analysis 
  • mathematical modelling


  • environmental monitoring
  • climate change
  • Earth observation 
  • waste management 
  • water quality and pollution 
  • soil health and sustainability
  • energy 
  • biofuels
  • social sciences


  • systems approaches
  • consumer analysis 
  • supply chain modelling
  • agricultural policy
  • trade and governance

More information 

Email the Smart Farm Team at