Recent Advances in Forest Insect Pests and Diseases Monitoring Using UAV-Based Data: A Systematic Review

• Published in: Forests Vol. 13; no. 6; p. 911
• Main Authors: Duarte, André, Borralho, Nuno, Cabral, Pedro, Caetano, Mário
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2022
• Subjects: Analytical methods; Bark; Bibliometrics; Climate change; Data collection; Data processing; Deep learning; Disease; Epidemics; forest; Forestry; insect pest and disease monitoring; Insects; Literature reviews; Machine learning; Meta-analysis; Pests; PRISMA protocol; Remote monitoring; Remote sensing; Reviews; Search engines; Sensors; Software; Spatial discrimination; Spatial resolution; Systematic review; Taxonomy; Trends; Unmanned aerial vehicles; Wilt

Unmanned aerial vehicles (UAVs) are platforms that have been increasingly used over the last decade to collect data for forest insect pest and disease (FIPD) monitoring. These machines provide flexibility, cost efficiency, and a high temporal and spatial resolution of remotely sensed data. The purpo...