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Date deficiency has been the barrier to taking advantage of deep learning methods for plant disease identification ( The metric-based methods, as a mainstream method of FSL, are widely studied due to their intuitive underlying theory and good performance ( Because FSL meets the small data scenarios, it raises high concerns in studies of plant disease identification ( Although FSL has the advantage in scenarios of data deficiency, it still has some challenging issues that need to be addressed