A Novel Methodology for Improving Plant Pest Surveillance in Vineyards and Crops Using UAV-Based Hyperspectral and Spatial Data
Authors: Fernando Vanegas, Dmitry Bratanov, Kevin Powell, John Weiss and Felipe Gonzalez
Journal Title: Sensors
ISSN: 1424-8220 (Print)
Publisher: MDPI AG
Recent advances in remote sensed imagery and geospatial image processing using unmanned aerial vehicles (UAVs) have enabled the rapid and ongoing development of monitoring tools for crop management and the detection/surveillance of insect pests. This paper describes a (UAV) remote sensing-based methodology to increase the efficiency of existing surveillance practices (human inspectors and insect traps) for detecting pest infestations (e.g., grape phylloxera in vineyards).
Photo: Headwall Nano hyperspectral sensor on-board a S800 unmanned aerial vehicle (UAV) (credits: Fernando Vanegas, Dmitry Bratanov, Kevin Powell, John Weiss and Felipe Gonzalez)