Aprendizaje automático como herramienta para el manejo integrado de recursos naturales en un contexto de cambio climático

Erick Armando  Sedeño Bueno; Julio  Madera Quintana

Authors

Erick Armando Sedeño Bueno Centro de Investigaciones de Medio Amiente de Camagüey
Julio Madera Quintana Universidad de Camagüey

Keywords:

Machine learning, climate change, integrated management of natural resources

Abstract

The management of natural resources in a context of climate change, necessary to achieve sustainable development in communities and the environment, needs technological tools that promote analysis in favor of decision-making. Machine learning as a tool to program machines for supervised or unsupervised learning by different algorithms, allows training systems for the changing space-time situation and uneven panorama. By understanding its fundamentals and training and learning models, it can be used to classify or predict based on input data, generating support decisions. For this reason, the current link of Machine Learning with the management of natural resources and the environment is of vital importance and relevance, and a review regarding its applications and foundations is presented in the current writing.

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