Inspector Gadget – Mobile data collection for plant biosecurity
Transcription
Inspector Gadget – Mobile data collection for plant biosecurity
Inspector Gadget – Mobile data collection for plant biosecurity Dr Andrew Crowe Fera York, UK UK Plant Health • • Decision Makers – Plant Health Officers - Identify new and emerging risks - Develop biosecurity strategy - Gather evidence and commission research First Line of Defence - Plant Health Inspectors (PHSI) - Inspections at ports/airports - Regular field inspections - Plant passports for exporters - Survey/Destruction of Notifiable Pests/Diseases Risks to UK Plant Health • UK Plant Health Risk Register • 742 Plant pest/disease risks identified Key Pests/Diseases • • • • • • Phytopthora sp. Emerald Ash Borer Potato Ring Rot Ash Die Back Asian Longhorn Beetle Pine/Oak Processionary Moth PHSI monitor plant health in England and Wales against pests and disease Manual Data Collection Workflow • OFFICE FIELD Print out paper Manually record: maps/supporting • Inspection data info • Photo numbers • Location - • GPS coordinates grid references field names OFFICE • Re-record inspection data into eDomero • Download photo files • Record/plot coordinates Method is inefficient, repetitive and prone to error Mobile Inspection Data Capture Pilot Aims: • Identify mobile GIS capabilities of software already available to the organisation • Minimise need for new systems and bespoke development • Mobile data model based on the current recording system for inspection data Mobile GIS Software • Use existing Esri software available to PHSI/Fera under our Enterprise Licence Agreement with Esri Windows Mobile • • iOS Trimble Juno GPS • ArcGIS For Windows Mobile • Web browser • IPad/Android Tablet • GeoForm IPad Collector for ArcGIS Mobile GIS Hardware • • Trimble Juno T41 XG - 1-2 meter real time accuracy - 3G/WiFi enabled - ~£1500 (~$2300) - Windows Mobile 6.5 iPads • approx. 5-10 meter real time accuracy • 3G/WiFi enabled • ~£400 (~$630) Developing a Mobile Solution • Database model consistent with fields from current electronic recording system • Use of subtypes and domains to ensure data integrity and efficient collection out in the field • Subtypes and domain coded values identical to those used in the electronic recording system • Mandatory fields to ensure validity of collected records Mobile Data Model Inspection Type domain example Current electronic Database model recording system Serving out the Data Model ArcSDE ArcGIS for Windows Mobile on Trimble ArcGIS for Server Firewall Cellular and wireless connection Collector for ArcGIS and GeoForm on iPad ArcMap/ ArcCatalog ArcGIS Online ArcGIS For Windows Mobile Collector for ArcGIS GeoForm Findings and future work • Data model was able to collect data in a format compatible with the current electronic recording system • Range of software options available allows users to select what’s right for them • Trimble GPS devices provided suitable accuracies to monitor plant health pest and disease outbreaks • iPads GPS accuracy varied - Look to investigate use with external GPS receivers Benefits of using mobile GIS for Inspectors • Improves efficiency and accuracy of field operations • Provides rapid data collection and real time mapping • Replaces paper-based workflows and duplicate recording • Take information in and out of the field Web Mapping to Support Plant Health Policy • • Advantages of webmaps - People love maps - Interactive interrogation of data - Updated with current information Requirements for government - Data must be valid - Must adhere to data protection guidelines Chalara fraxinea interactive webmap Mapping Plant Health Risks from Imports • Aim - • To make more use of data stored on inspections Objectives - Map the origin of imports which have been found to have a pest or disease - Display trends in risk from interceptions - Link to other sources of plant health information UK Risk Map of Interceptions Webmap Attachments Country Interception Trend Chart Interception list (links to Risk Register Website) Acknowledgements • • Mobile Data - Lee Butler (Fera) - Peter Scotting (PHSI) Web Mapping - Sharon Elcock (Fera) - Rob Lake (Fera)
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