Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP140101075
Funding Status
Closed
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Funded Activity Summary
Intelligent Image Retrieval from Distorted and Partial Queries for Rapid Mobile Identification of Pests Threatening Food and the Environment. Pests and diseases are major threats to the Australian food industry and environmental biosecurity. A rapid and mobile pest information retrieval system is critical to prevent a pest becoming established and devastating the region. However, automated insect image retrieval remains an unsolved challenge in the research community. This project addresses the fundamental problem of distorted and partial image query in cluttered background in order to achieve pest identification at a much earlier on-site stage. The success of this research will not only make a technical breakthrough towards retrieving objects with movable body parts, but also revolutionise the current pest detection and monitoring process.Funded Activity Details
Start Date: 2014
End Date: 12-2018
Funding Scheme: Discovery Projects
Funding Amount: $405,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Library and Information Studies | Environmental Monitoring | Pattern Recognition and Data Mining | Information Retrieval and Web Search |
ANZSRC Socio-Economic Objective (SEO)
Control of Pests, Diseases and Exotic Species at Regional or Larger Scales | Electronic Information Storage and Retrieval Services
