Wednesday, 29 October 2003 - 4:00 PM
0943

This presentation is part of : Section E Symposium: Building a National Plant Pest and Disease Diagnosis Network--A Federal/State Partnership

Functioning automated data analysis processes for event detection

Carla Thomas1, Richard M. Bostock1, and Eileen Luke2. (1) University of California, CA&ES Dean's Office, 1 Shields Ave, Davis, CA, (2) Purdue University, CERIS, 1231 Cumberland Ave #A, West Lafayette, IN

Data analysis for early detection of an epidemic is a different process that data analysis for early response. Early response is based upon detection of a targeted organism from even a single occurrence. Epidemic implies a wider spatial recognition of what may appear to be random occurring local "events" that in reality tie together in a larger pattern. An analysis system to detect outbreaks due to new, exotic or changed pests, weeds or diseases is being designed and implemented by the National Plant Diagnostic Network, CSREES. Patterns of occurrence that signal an event will be rapidly identified through automated or semi-automated data analysis at the state, regional and national levels for pest data. Types of anomalies, datasets, and analyses will be discussed.

Keywords: pest detection, pest diagnosis

Back to Section E Symposium: Building a National Plant Pest and Disease Diagnosis Network--A Federal/State Partnership
Back to Section Symposia

Back to The 2003 ESA Annual Meeting and Exhibition