The AI-powered mobile application enables rapid detection of early visual symptoms of Citrus Black Spot (CBS) and Huanglongbing (HLB) directly through a smartphone camera. Lightweight deep-learning models analyze captured images in real time, guiding inspectors to identify infected fruit even when symptoms are subtle or easily confused with abiotic stress. Designed for both iOS and Android, the app is intuitive and accessible, supporting fast assessments during import inspections and reducing reliance on laboratory evaluations.
Beyond professional use, the app empowers farmers and other trained users to contribute valuable field observations from orchards. Uploaded images help expand and improve the AI models, continuously enhancing diagnostic accuracy through citizen-science participation. By enabling rapid, on-site screening and collaborative risk reporting, the mobile app strengthens early surveillance and supports timely decision-making to protect citrus production and European plant health.
