New Zealand's main export earnings come from primary production areas such as horticulture where high quality export grade fruit are produced.
In order to maintain a competitive advantage in the world marketplace, the systems and methods used to grow the fruit are constantly being refined. Most of these are increasingly based on data collected and analysed by both the orchardist who grow the produce and also researchers who refine the methods used to determine these high levels of fruit quality.
In this talk I'll present an advanced neurocomputing technique and a novel knowledge engineering methodology for knowledge acquisition, manipulation, and extraction of this data using an on-line/real-time incremental learning system. This system has been applied to the task of detection of pests in images of damaged apples and a decision support system to aid the task of insecticide application within apple orchards.
Last modified: Friday, 16-Jul-2004 15:47:45 NZST
This page is maintained by Caroline Wills.