Pest monitoring is typically performed through costly and time-consuming on-site visits, resulting in certain cases in limited spatial and temporal resolution. Consequently, there is a need for more cost-effective approaches to detect and discriminate infested plants and/or trees at large spatial scales and within reasonable time frames.
– Develop and test early detection strategies by exploiting digital technologies
– Enhance and optimize the use of insect traps in a network setting for an IoT approach
– Develop user-friendly and accessible tools or methods
– Contribute to disentangle biotic and abiotic stresses, enabling the early detection of pests
– Collect standardised and comprehensive data
– Assess the cost-benefits of the proposed methods;
– Integrate citizen science as a tool to monitor pests
– Increase the availability of large-scale and robust plant scanning methods to monitor plant pests, to assist territorial surveillance and help with timely eradication or optimisation of containment measures
– Enhance innovative and cost-efficient integration of methods
– Strengthen capacities to prevent entry and spread and to monitor EU regulated plant pests and support plant health territorial surveillance
– Foster transdisciplinary cooperation in the fields of plant health, environmental sciences and earth observation
– Support relevant EU and Associated Countries’ plant health policies
