In this Industry 4.0 experimental garden the project partners aim to demonstrate the application of new hyperspectral camera’s mounted on a drone or tractor supported by appropriate software processing for offline and online disease detection in potato and pipfruit. The image analysis platforms will be modular in concept and structure allowing their later use in other applications than the two cases tackled in this project. In potato Alternaria will be detected using a drone based hyperspectral detection system, while in apple and pear the tractor system will detect bacterial fire blight (Erwinia amylovora) symptoms throughout the trees.
Interreg Vl-NL project
Timing: 01/04/2019 – 31/03/2022
Financing: Vlaanderen Industrie 4.0 - VLAIO (Vlaams Agentschap Innoveren & Ondernemen) met cofinanciering (20%)
Partnership: ILVO – Smart Digital Farming (Jonathan Van Beek, David Nuyttens, Jürgen Vangeyte), MeBios – KU Leuven (Wouter Saeys, Niels Wouters), Imec (Roeland Vandebriel, Andy Lambrechts, Kris Van de Voorde), Flanders Make (Jasper De Smet, Kris Lehaen, Jonathan Baake), VITO (Stephanie Delalieux, Laurent Tits)