The 2011 ASHS Annual Conference

Objective(s):
With the volumes of data that is being collected by sensors, analysis of large datasets becomes an important task in horticultural research. Case studies of past experiences and current trends of computational and statistical analyses of databases will be presented.

Powerful computer systems and sensor-based measurements are generating massive amounts of data sets. Such data are being used to support the development of more precise agroclimatic models, decision support systems, and other cross-cutting horticultural applications. In addition, current trends in computing appear to suggest that cloud-based databases will be integral components of future software systems. Current computational and statistical approaches likely need to be enhanced in order to automatically filter and assess the reliability of data and efficiently extract meaningful knowledge from local and networked databases. The objective of this workshop is to familiarize the audience with some innovative computing and statistical approaches that are being used for analyzing and extracting knowledge from databases. Case studies of past experiences and current trends of computational and statistical analyses of databases will be presented.