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UniDetNet-MAF is presented, a lightweight unified detection framework that simultaneously localizes and classifies sugarcane leaf diseases and is suitable for timely, field-scale sugarcane disease diagnosis.
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UniDetNet-MAF is presented, a lightweight unified detection framework that simultaneously localizes and classifies sugarcane leaf diseases and is suitable for timely, field-scale sugarcane disease diagnosis.
UniDetNet-MAF is presented, a lightweight unified detection framework that simultaneously localizes and classifies sugarcane leaf diseases and is suitable for timely, field-scale sugarcane disease diagnosis.
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