Previous studentships

  1. Optimising the light recipe for maximum photosynthesis, yield and quality in strawberry
  2. Application of novel machine learning techniques and high-speed 3D vision algorithms for real-time detection of fruit
  3. Mechanisms of winter dormancy break and how to better influence in the context of climate change
  4. Developing a push-pull strategy for the management of Drosophila suzukii
  5. Biocontrol as a key component to manage brown rot diseases on stone fruit
  6. Combining root architecture, root function and soil management to improve production efficiency and quality of apples
  7. Pests, plants and parasitoids: how does climate variability affect tri-trophic interactions in apple orchards?
  8. Novel ways of managing tree crop fungal diseases – using precision diagnostic technologies to tailor disease management strategies
  9. Realising increased photosynthetic efficiency to increase strawberry yields
  10. Fruit flies and fatal fungi: exploring interactions between entomopathogens and Spotted Wing Drosophila
  11. Investigating durable resistance to Phytophthora cactorum in strawberry and apple
  12. Understand soil resilience to manage apple replant disease
  13. Develop a deep learning algorithm for automated visual recognition of pests and diseases on strawberry
  14. The augmented agronomist: Synthesis of AI, ML and robotics to assist decision support