Mejora de las predicciones de emisiones de óxido nitroso de suelos agrícolas mediante un enfoque de aprendizaje

Facundo Lussich1, Ryan Ackett1, Jashanjeet Kaur Dhaliwal1

  • 1Department of Biosystems Engineering and Soil Science, University of Tennessee, Knoxville, Tennessee, USA.

PubMed
Resumen

Un nuevo modelo de aprendizaje automático Class-Swap predice con precisión las emisiones de óxido nitroso (N₂O) utilizando dos modelos de Random Forest para los flujos de fondo y de momentos de alta emisión. Este enfoque mejora significativamente la precisión de la predicción en comparación con los modelos tradicionales en sistemas agrícolas.

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