Case Based Interpretation of Soil Chromatograms
This paper focuses on the application of CBR to soil analysis from chromatograms. The shape, size and colour of the chromatogram image are hypothesized to contain important information of the mineral content in the soil. Since chromotogram preparation is cheaper than chemical analysis the goal is to predict the nutrients from the chromatogram image features in the future rather than by direct chemical analysis. The method proposed in this paper will be new, as the current process of chemical analysis of soil is done manually, which is an expensive, time consuming and laborious process. This method of analysis will benefit farmers all across the globe, who are looking for innovative means to obtain their soil characteristics during the process of farming. In this application, the key assumption is that – similar chromatograms have similar soil properties. This paper focuses on the definition of similarity measure and determining the weight model for the feature set needed for the application.
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