As the complexity of the sample background increased, the classification accuracy showed a decreasing trend, with the accuracy for the natural and mixed background data falling between 83.45% and 91.63%.
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Detection of citrus diseases in complex backgrounds based on image-text multimodal fusion and knowledge assistance.
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