Abstract
The spectroscopy technique has been applied for many decades in the field of remote sensing, as well as in the characterization of materials. Recent research indicates that it is possible to monitor the health of plants to detect diseases. In this work, we presented a multi-sensor approach at different scales to detect diseases and pests in three key applications in mountain agriculture: apple orchards and vineyards to detect phytoplasmas and forests to identify pine processionary and bark beetle. We used in-situ instrumentation to observe leaves in healthy and non-healthy individuals, drones to cover a plot area, and using a down-scale remote sensing approach to identify key affected areas of bark beetle and pine processionary. We created maps at different scales, and we compute some algorithms to semi-automatically identify and classify individual trees in wider areas.