GranoScan: an AI-powered mobile app for in-field identification of biotic threats of wheat.

ABSTRACT: Capitalizing on the widespread adoption of smartphones among farmers and the application of artificial intelligence in computer vision, a variety of mobile applications have recently emerged in the agricultural domain. This paper introduces GranoScan, a freely available mobile app accessible on major online platforms, specifically designed for the real-time detection and identification of over 80 threats affecting wheat in the Mediterranean region. Developed through a co-design methodology involving direct collaboration with Italian farmers, this participatory approach resulted in an app featuring: (i) a graphical interface optimized for diverse in-field lighting conditions, (ii) a user-friendly interface allowing swift selection from a predefined menu, (iii) operability even in low or no

SUBMITTER: Dainelli R 

PROVIDER: S-EPMC11190326 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature