Awarded
Automated Airborne Pest Monitoring (AAPM) of Drosophila suzukii in Crops and Natural Habitats
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Descriptions
Drosophila (D) suzukii has become a serious pest in Europe since its spread in 2008 to Spain and Italy, and the UK in 2012, attacking many soft-skinned crops such as several berry species, cherry and grapevines. Pest monitoring is the basis of its control. Therefore, an efficient and accurate monitoring system is essential in order to identify the presence of D. suzukii in crops and surrounding areas, and to prevent damage to economically valuable fruit crops. Existing methods for monitoring D. suzukii are costly, time and labor intensive and consequently conducted at a low spatial resolution and prone to errors. It is proposed to develop a novel system to overcome current monitoring limitations consisting of traps which are monitored by means of an Unmanned Aerial Vehicle (UAV) and an automatic image processing pipeline for the identification and count of the number of D. suzukii per trap location. Automated monitoring has an advantage over current methods in terms of (1) labour intensity, (2) sampling interval, (3) automatic integration into Decision Support Systems (DSS), (4) monitoring of diverse and even hardly accessible habitats, and (5) population monitoring in vast areas in relation to climatic and other geo-processed parameters. A multi-variable sticky trap evaluation will allow for the selection of the most suitable one to attract the target insect. A small multi-rotor UAV platform will be flown at multiple intervals to capture high resolution color aerial photographs of the insect traps. The photographs will be subjected to image processing algorithms to identify the presence or absence of D. suzukii and their counts. The data collected will be transferred to a DSS to provide valuable information for growers in a format that is both meaningful and accessible, thereby demonstrating the added value and social importance of applied science and technology to the wider community and food security.
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CPV Codes
73100000 - Research and experimental development services
73110000 - Research services
90700000 - Environmental services
73000000 - Research and development services and related consultancy services
Keywords
applied research
technical review
green services
research studies
product analysis
eco-consulting
R&D services
field trials
feasibility studies
ecological assessment
prototype development
environmental management
experimental design
scientific advisory
industrial consultancy
test implementation
habitat restoration
knowledge acquisition
technology development
experimental studies
innovation consultancy
exploratory research
academic investigation
scientific research
natural resource care
laboratory testing
technology investigation
development support
literature review
discovery research
sustainability services
scientific analysis
ecosystem monitoring
data interpretation
product innovation
environmental protection
pollution control
innovation modeling
project evaluation
strategic research planning
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