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SCFM-DETR: un método mejorado basado en transformadores para la detección automatizada de enfermedades del maíz en

Sasa Tian¹, Zhiqing Tao¹, Ke Li¹

¹School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, 230036, Anhui, China.

|February 15, 2026

Resumen

Un nuevo modelo de IA, SCFM-DETR, identifica con precisión las enfermedades del maíz en condiciones de campo desafiantes. Este modelo ligero mejora la precisión y la eficiencia de la detección para aplicaciones de agricultura inteligente.

Palabras clave:

Detección de enfermedades del maíz Detección de objetos RT-DETR StarNet

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