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conferenceseries
.com
Volume 7, Issue 3(Suppl)
J Biotechnol Biomater, an open access journal
ISSN: 2155-952X
Euro Biotechnology 2017
September 25-27, 2017
17
th
EURO BIOTECHNOLOGY CONGRESS
September 25-27, 2017 Berlin, Germany
Mapping and detection of phylloxera in vineyards using UAVs, hyperspectral remote sensing and artificial
intelligence
Felipe Gonzalez
1,2
, Fernando Vanegas
1,2
, Dmitry Bratanov
1
, John Weiss
2,3
and
Kevin S Powell
2,4
1
Queensland University of Technology, Brisbane, Australia
2
Plant Biosecurity Cooperative Research Centre, Australia
3
AgriBio Centre, Australia
4
Agriculture Victoria, Rutherglen, Australia
T
he 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.
Biography
Felipe Gonzalez is an Associate Professor in the Science and Engineering Faculty, Australia and team Leader for Integrated Intelligent Airborne Sensing Laboratory
at the Queensland University of Technology, Australia. He holds a BE (Mech) and a PhD from the University of Sydney. His research explores bioinspired
optimization, uncertainty based UAV path planning and UAVs for environmental monitoring. He leads the CRC plant biosecurity project evaluating unmanned aerial
systems for deployment in plant biosecurity and the CRC PB 2135 optimizing surveillance protocols using unmanned aerial systems and developing pest risk
models of buffel grass using unmanned aerial systems and statistical methods. He is a Chartered Professional Engineer and member of Professional Organizations
including the RAeS, IEEE and AIAA.
felipe.gonzalez@qut.edu.auFelipe Gonzalez et al., J Biotechnol Biomater 2017, 7:3(Suppl)
DOI: 10.4172/2155-952X-C1-076