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