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Machine learning applied to fourteen agricultural datasets
Abstract
This document reports on an investigation conducted between November, 1995 and March, 1996 into the use of machine learning on 14 sets of data supplied by agricultural researchers in New Zealand. Our purpose here is to collect together short reports on trials with these datasets using the WEKA machine learning workbench, so that some understanding of the applicability and potential application of machine learning to similar datasets may result.
Type
Working Paper
Type of thesis
Series
Computer Science Working Papers
Citation
Thomson, K. & McQueen, R. J. (1996). Machine learning applied to fourteen agricultural datasets. (Working paper 96/18). Hamilton, New Zealand: University of Waikato, Department of Computer Science.
Date
1996-09