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            <title xml:lang="en">The Matching Research of Strawberry Diseases Image Features Based on KD-Tree Search Method</title>
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                <title xml:lang="en">The Matching Research of Strawberry Diseases Image Features Based on KD-Tree Search Method</title>
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                <editor>Daoliang Li</editor>
                <editor>Yingyi Chen</editor>
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                <term xml:lang="en">Feature combination</term>
                <term xml:lang="en">Search matching</term>
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                <term xml:lang="en">SPSS</term>
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              <p>According to the problem of the low matching accuracy rate and the low                            speed in the matching technology for image search, we choose the image                            of the strawberry diseases as the object of the research, to extract the                            feature of strawberry diseases image and then do cluster analysis using                            SPSS, and choose the feature combination according to the clustering                            effect. Do search matching experiments on the feature combination by                            KD-Tree matching algorithm respectively, and determine the                            characteristics combination which search matching accuracy is higher by                            comparing the results. This feature combination of strawberry powdery                            mildew matching accuracy reached 83.3%, the deformity of strawberry                            matching accuracy reached 60.0%, the aim is to provide the research                            basis for rapid disease diagnosis on strawberry.</p>
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