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Multi-Crop Leaf Disease Recognition: A Unified Benchmark and Cross-Region Study
Deep learning models for crop leaf disease recognition routinely report near-perfect accuracy yet are typically trained and evaluated on a single dataset collected under controlled laboratory conditions, leaving their behavior under realistic cross-region domain shift poorly understood. We introduce
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