An evaluation of Methodologies for eAgriculture in an Australian Context
International Association for the Scientific Knowleldge
Faculty of Computing, Health and Science
School of Computer and Security Science
Australian agricultural producers’ profits are dependent on the decisions they make about farm productivity systems. They may use recommendations and information provided by government agencies and private consultants. For cereal growers, success is dependent on decisions made about selection of crop varieties suitable for their agronomic and climatic conditions. This paper reports on research which aimed to evaluate some current eAgriculture methodologies for their application in the Western Australian agricultural industry. In particular the paper illustrates the findings from a project which aimed to explain the variability seen in crop varieties grown in Western Australia. The problems associated with crop variability have been recognised by crop researchers for many years. However it is only through recent advances in computer technology, and the application of large-scale data mining techniques and tools, that it has been possible to address the complexity of these environments. Western Australia environments are unique in that agricultural practices are greatly influenced by water/rainfall, soil and its land use. By applying data mining techniques and tools to information which is publicly available to growers, researchers can identify the major sources of variability which in turn can be used by growers as part of their risk management strategies.