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Este estudio introduce un nuevo sistema de fertilización de arroz que utiliza en tiempo real la conductividad eléctrica del suelo (CE) para ajustar con precisión la aplicación de fertilizantes. El sistema mejora la eficiencia del uso de fertilizantes al reducir los residuos y permitir la fertilización de tasa variable.

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Método de corriente tensión.conductividad eléctrica de la conductividad eléctrica.La red neuronal es una red neuronal.Agricultura de precisión Agricultura de precisión Agricultura de precisión Agricultura de precisión Agricultura de precisión Agricultura de precisión Agricultura de precisión Agricultura de precisión Agricultura de precisión Agricultura de precisión Agricultura de precisión Agricultura de precisión Agricultura de precisión Agricultura de precisión Agricultura de precisión Agricultura de precisión Agricultura de precisiónArroz arroz de arroz arroz es el arroz.fecundación variable fertilización variable

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Área de la Ciencia:

  • Ingeniería Agrícola Ingeniería Agrícola.
  • Ciencias del suelo Ciencias del suelo.
  • Agricultura de precisión Agricultura de precisión La agricultura de precisión es la agricultura de precisión en la que se trabaja con gran precisión.

Sus antecedentes:

  • Los métodos actuales de fertilización del arroz carecen de ajuste dinámico, lo que lleva a un uso ineficiente de fertilizantes.
  • Los ajustes basados en la experiencia no pueden tener en cuenta los diferentes niveles de fertilidad del suelo.

Objetivo del estudio:

  • Diseñar un sistema de control de fertilización de tasa variable en el lado profundo del arroz utilizando la detección en tiempo real de la conductividad eléctrica (CE) del suelo.
  • Mejorar la eficiencia del uso de fertilizantes en el cultivo de arroz a través de tasas de aplicación dinámicas.

Principales métodos:

  • Desarrolló un modelo de calibración EC utilizando una red neuronal RBF basada en la humedad del suelo, la profundidad del electrodo y la temperatura.
  • Construyó una estrategia de fertilización y un modelo que incorpora la EC en tiempo real, el rendimiento objetivo y la velocidad de avance.
  • Implementado un control de circuito cerrado utilizando un algoritmo PID incremental para la fertilización de tasa variable.

Principales resultados:

  • Se obtuvo un error relativo medio de la CE del 2,70%.
  • Demostró un tiempo máximo de respuesta del sistema de fertilización de 1,60 segundos y un promedio de 1,28 segundos.
  • Informó una tasa promedio de reducción de fertilizantes de 12.39%.

Conclusiones:

  • El sistema desarrollado permite operaciones de fertilización de velocidad variable rápidas y precisas.
  • Proporciona apoyo técnico para optimizar las prácticas de fertilización profunda lateral del arroz.
  • Mejora significativamente la eficiencia del uso de fertilizantes en el cultivo del arroz.