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Marco mejorado basado en la convolución de ondulaciones y el prototipo de pocos disparos para la identificación

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Resumen

Este estudio introduce un nuevo marco para la identificación de ganado Holstein individual, mejorando la precisión y la estabilidad de los nuevos animales en granjas inteligentes. El método mejora la extracción de características y utiliza una red de prototipos para una identificación robusta e incremental.

Palabras clave:
El ganado de HolsteinResWTA (en inglés)Identificación incrementalPrototipo de redConvolución de las ondulaciones

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Área de la Ciencia:

  • Tecnología agrícola
  • Visión por ordenador
  • Aprendizaje automático

Sus antecedentes:

  • La identificación individual del ganado de Holstein es vital para la gestión inteligente de las explotaciones.
  • Los modelos de identificación existentes luchan con nuevos animales y cambios de apariencia, lo que limita la aplicación práctica.
  • Los métodos actuales de conjunto abierto carecen de estabilidad para identificar individuos nuevos.

Objetivo del estudio:

  • Desarrollar un marco de identificación robusto y progresivo para el ganado de Holstein.
  • Lograr una identificación estable de nuevos individuos en condiciones de muestra reducida.
  • Mejorar la aplicabilidad práctica de los sistemas de identificación de ganado en escenarios de cría.

Principales métodos:

  • Diseñado ResWTA, una red de extracción de características que combina la convolución wavelet y la atención espacial.
  • Construido una red de prototipo aumentado de pocos disparos para la robustez de identificación incremental.
  • Evaluó varias funciones de pérdida, métodos de cálculo de prototipos y métricas de distancia.

Principales resultados:

  • ResWTA logró una precisión de 97.43% en el top-1 y 99.54% en el top-5.
  • La red de prototipos aumentados de pocos disparos mejoró la precisión superior en un 4,77%.
  • El marco combinado alcanzó un 94,33% de precisión, reduciendo el olvido incremental del aprendizaje en un 4,89%.

Conclusiones:

  • El marco propuesto permite una identificación estable y gradual del ganado de Holstein, incluso con muestras pequeñas.
  • La red ResWTA y la red de prototipos aumentados mejoran significativamente la robustez y la precisión de la identificación.
  • Esto proporciona un apoyo técnico efectivo para la gestión inteligente de las granjas y los programas de cría de ganado.