RMIT University, with support from Food Agility CRC, is developing a digital twin model to help Australian stonefruit growers adapt to climate variability. The project uses photogrammetry to convert high-resolution 2D drone imagery into photorealistic 3D replicas of orchards. These models enable detailed light radiation simulations, helping optimise canopy structures for improved photosynthetic efficiency. Work is also underway to integrate computer vision and AI techniques for fruit yield and quality assessment. As the project progresses, we aim to demonstrate how these technologies can provide growers with real-time insights, supporting data-driven decision-making for more sustainable and productive orchard management. 

3 Key Learnings

1. How photogrammetry enables the creation of digital orchard replicas for enhanced visualisation and analysis.
2. The potential of light radiation simulations to optimise orchard structure for improved photosynthetic efficiency.
3. Emerging applications of computer vision and AI for fruit yield and quality assessment, with ongoing developments in the project.