Evolving neurocomputing systems for horticulture applications

This paper describes the use of an advanced neurocomputing technique and a novel knowledge engineering methodology for knowledge acquisition, manipulation, and extraction of data that is directly related to New Zealand's horticulture industry and furthers this area by introducing a novel and innovative knowledge-based architecture for knowledge discovery using an on-line/real-time incremental learning system. The emphases of this work highlights knowledge discovered from these data sets and also allows for greater insight into what aspects of the collected data contribute to the development of high quality produce. (C) 2007 Elsevier B. V. All rights reserved.