Prosjektet går ut på å samarbeide med internasjonale partnere, delta i prosjektmøter og å skrive selve EU søknaden. Consortia: University of Coimbra, Portugal (Prime); VITO, Belgium; The Navigator, Portugal; Science and Technology AS, Norway. Our role, WP lead: ML expert, responsible for implementation task (implementation of the new services into Silvisense) Selve prosjektet kan summeres slik: Forest.CARE will deliver a stakeholder-centric regional demonstration of flexible tree stress and disease detection tool adjusted to multiple biotic agents and across different forest types (including management practices), tree species, and current climate regions. Using Artificial Intelligence-driven methods, commonalities amongst the risk factors and symptoms of different classes of agents will be identified and leveraged into a flexible and responsive system. The analysis will provide detailed (and actionable) information of the vulnerability of tree stands, as well as the location and magnitude of damage by biotic (and some abiotic) agents. A forecast of future vulnerability based on climate models will be delivered as well, upon analysis of the historic record.
Project leader: Kenneth Hauglund
Institution: SCIENCE AND TECHNOLOGY AS