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Full-Text Articles in Computer Sciences
Applying Data Mining Techniques In The Selection Of Plant Traits, Dean Diepeveen, Leisa Armstrong
Applying Data Mining Techniques In The Selection Of Plant Traits, Dean Diepeveen, Leisa Armstrong
Leisa Armstrong
In the agricultural sector, farmers are provided with crop related information by various research agencies in order to make critical decisions about which is the most profitable crop variety choice. Research agencies provide information which is generic, rather than being tailored to the individual farmers cropping situation. A number of specific plant and growth traits are used to establish the most suitable crop varieties. When selecting crop varieties for release to growers, the application of data mining techniques to crop research data enables the customization of information to each individual farmers farming situation. The challenge for agricultural research perspective is …
An Evaluation Of Methodologies For Eagriculture In An Australian Context, Leisa Armstrong, Dean Diepeveen
An Evaluation Of Methodologies For Eagriculture In An Australian Context, Leisa Armstrong, Dean Diepeveen
Leisa Armstrong
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 …
An Eagriculture-Based Decision Support Framework For Information Dissemination, Leisa Armstrong, Dean Diepeveen, Khumphicha Tantisantisom
An Eagriculture-Based Decision Support Framework For Information Dissemination, Leisa Armstrong, Dean Diepeveen, Khumphicha Tantisantisom
Leisa Armstrong
The ability of farmers to acquire knowledge to make decisions is limited by the information quality and applicability. Inconsistencies information delivery and standards/or the integration o/information also limit decision making processes. This research uses a similar approach to the Knowledge Discovery in Databases (KDD) methodology to develop an ICT based framework which can be used to facilitate the acquisition of knowledge for farmer's' decision making processes. This is one of the leading areas of research and development for information technology in an agricultural industry, which is yet to utilize such technologies fully. The Farmer Knowledge and Decision Support Framework (FKDSF) …
An Information-Based Decision Support Framework For Eagriculture, Leisa Armstrong, Dean Diepeveen
An Information-Based Decision Support Framework For Eagriculture, Leisa Armstrong, Dean Diepeveen
Leisa Armstrong
The ability of farmers to acquire knowledge to make decisions is limited by the information quality and applicability. An inconsistency in information delivery and standards for the integration of information also limits the decision making process. Knowledge Discovery in Databases (KDD) methodology described for the data mining is an example of how frameworks can be used to facilitate such data integration. This research will examine how such a ICT based framework can be used to facilitate the acquisition of knowledge for the farmer decision making process. The Farmer Knowledge and Decision Support Framework (FKDSF) takes information provided to farmers and …