Felipe Gonzalez
Queensland University of Technology, Australia
Title: Mapping and detection of phylloxera in vineyards using UAVs, hyperspectral remote sensing and artificial intelligence
Biography
Biography: Felipe Gonzalez
Abstract
The use of unmanned aerial vehicles (UAVS) or drones in agriculture and plant biosecurity is rapidly increasing. Grape phylloxera (Daktulsphaira vitifoliae Fitch) is a serious economically important invasive insect pest of European grapevine (Vitis vinifera L). Although widely present in most grape-growing countries worldwide, its distribution within Australia is limited, mainly due to strict biosecurity measures in place at farm, regional and state levels. As the insect is very small, and primarily lives underground on the roots of the grapevines, it is very hard to detect until the symptoms of infestation appear (slow stunted growth and premature yellowing of leaves), usually after 2-3 years (although in some instances this can be longer). This research, part of a Plant Biosecurity CRC project on “Optimising plant biosecurity surveillance protocols for remote sensing using unmanned aerial systems”, evaluates the use of UAV based high resolution RBG, thermal, multi- and hyper-spectral imagery at detecting symptoms of phylloxera infestation at two different vineyards, multi-variety grapevines, at two separate time periods and under different levels of phylloxera infestation. Early detection of phylloxera within the first year would allow vineyard managers to implement phytosanitary measures to restrict or slow the spread of the pest and reduce future costs and losses in production. Previous research indicated that early infection of grapevines by phylloxera can be detected with hand-held spectro-radiometers and changes in leaf and canopy level reflectance were associated with changes in leaf chemistry. Datasets from each imagery type are compared to existing phylloxera detection practices; visual inspection, ground-based insect traps, soil DNA probes as well as being overlain with EM38 ground conductivity survey data. The ultimate aim of this study is to move towards a more targeted integrated approach for phylloxera detection and is the first study of its type to focus on a soil borne pest of biosecurity significance.