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- Automating Data Collection & Reporting to Promote Urban IPM
- Riverside Municipal Museum
- 3580 Mission Inn Avenue, Riverside, CA 92501
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- Provide integrated pest management solutions that are effective,
economical, environmentally friendly, and most importantly, do not have
the harmful side effects of many conventional pest management techniques
that rely solely on insecticides.
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- Immediate:
- Simplify & reduce time required to…
- Collect field data
- Process and analyze data (combining with computer models and
algorithms to estimate pest population densities)
- Generate Reports
- Long-range:
- Develop a device or system that automates the identification process
- Provide IPM strategies for each pest species based on specific
environmental parameters
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- Pest Records
- Presence / Absence
- Identification
- Density
- Distribution
- Decision Making
- Control Measures - Are they needed? If so: Where, When, How much?
- Effectiveness
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- Information Collection: Labor intensive monitoring is the backbone to
any sound IPM program.
- Status of pest
- Condition of building (torn screens, doors left ajar etc.)
- Effect of control strategies
- Action to be Taken
- What should be done based on data collected?
- How do you implement IPM?
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- Integrity of building (excluding pests)
- Maintenance (general upkeep of building)
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- IPM hinges on proper identification of pest
- For example Ants:
- Carpenter ant (nests in but doesn’t consume rotten wood)
- Argentine ant (protein food source) will nest indoors
- Pavement ant (seeks sugary food source) nests outdoors
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- Number of each pest at distinct developmental stage
- Location
- Date
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- Simple, non-relational database application
- Temporal records, but with no truly spatial context
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- What information needs to be presented?
- What information is pertinent?
- How do you process information?
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- Semi-automation of field data collection
- Automated data transfer to computer
- Automated analysis & reporting including:
- Graphs
- Pest density maps
- Recommended IPM strategies
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- Desktop companion – installed on office computer
- Pocket PC or Palm Pilot – used to collect field information
- Handheld can be equipped with either:
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- Data transferred from desktop computer to centralized database
- Data processed and analyzed by ISCA
- Automated reports - depicting pest information and suggesting IPM
control strategies
- Centralized database enables easy access to data by authorized users,
and allows for easy comparisons of pest problems between institutions
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- Shortens the data management processing time from weeks to hours or
minutes
- Allows managers to stop pest problems as soon as they are detected, thus
avoiding crisis pest management weeks later, and resulting in
significant cost savings from the reduction in pesticide use
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- All variables have specific parameters,
- for example…
- Building:
- Name
- Type of construction
- Type of climate control
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- Rooms can similarly be assigned
- Names
- Types
- Size & heights (volume)
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- Most important…
- Traps are not only named, but assigned descriptors that allow for
efficacy testing
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- Moritor’s initial set-up is a one time event!
- vs.
- Traditional: Need to write in variables during each data collection
event
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- Each Variable has a drop down list
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- Select trap from list and if equipped with GPS unit, enter the GPS
coordinates
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- Enter species information
- Species ID
- Number
- Sex
- Developmental stage
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- Data entered in handheld device
- Dowloaded to ISCA database
- Following analysis, report provided to client with charts of pest
densities, recommendations for treatment, etc.
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- Pest Reporting will ultimately include:
- Density maps as well as charts
- Proposed control strategies
- Automated pest identification data analysis
- Graphical presentation of data collected in GIS format, providing more
“real world” views of problems…
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- This collaboration will continue, with implementation of the field data
gathering model, and downloading of existing Museum data to ISCA
database
- Analysis and reporting methodologies will be developed, based on ISCA
urban IPM resources
- Over the next year, “smart trap” strategies will be developed along with
GIS data methodologies, resulting in full implementation of the project
concept
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