VineSight: AR Field-based Diagnostics

Viticulture in Australia faces mounting challenges in disease management, particularly with the emergence of antimicrobial-resistant (AMR) pathogens like powdery mildew. Traditional detection methods rely on expert agronomists, making regular field inspection costly, time-consuming, and often reactive. This project proposes an innovative diagnostic solution: an AI-powered, augmented reality (AR) tool that enables non-expert vineyard workers to detect and monitor disease in real time.

By integrating open-source computer vision models with wearable AR displays, such as the XReal One Pro or Microsoft HoloLens, the system will guide users through the diagnostic process. It will provide interactive, context-sensitive prompts—such as instructing the user to move closer or inspect a specific area—while simultaneously analysing leaf imagery to identify early signs of powdery mildew. Location tracking and result logging will enable comprehensive spatial mapping of disease spread, accessible via a remote dashboard.

The 12-month Kickstart will focus on the human-machine interface and usability, employing a human-centred design methodology. Co-design workshops with vineyard managers, agronomists, and field workers will shape the interaction design, with prototype development and field testing to be conducted in collaboration with Dowie Doole Winery in McLaren Vale.

Expected outcomes include a functional concept demonstrator, validated through in-field testing, showing that non-experts can effectively detect disease using this tool. This approach reduces reliance on chemical treatments, supports earlier intervention, and directly addresses the spread of AMR pathogens. The project combines expertise in immersive technologies and human-centred AI (UniSA STEM), practical industry experience (Dowie Doole), and sustainable agriculture goals. It lays the foundation for a scalable, industry-ready platform with potential expansion to other diseases and regions—offering a transformative leap in sustainable, precision viticulture.

University of South Australia (UniSA)

University of South Australia (UniSA)

Twelve months