Artificial Intelligence at the Service of Biodiversity in the Pantanal

Authors

  • Thiago Meirelles Ventura Federal University of Mato Grosso
  • Allan Gonçalves de Oliveira Federal University of Mato Grosso
  • Todor Dimitrov Ganchev Technical University of Varna
  • Marinêz Isaac Marques Federal University of Mato Grosso
  • Karl-Ludwig Schuchmann Universidade de Bonn

DOI:

https://doi.org/10.5753/compbr.2020.43.1792

Keywords:

Biodiversity, Environmental Monitoring, Artificial Intelligence

Abstract

Pantanal is one of the largest floodplains in the world, a place rich in biodiversity and, therefore, known as one of the main biodiversity hot spots in the New World. Considering this rich biodiversity and in view of the advance of agriculture, livestock, tourism, hydroelectric plants and excessive burning, constant monitoring has become even more necessary. To monitor and extract information, several Artificial Intelligence (AI) techniques are used, such as Artificial Neural Network (including deep learning), Random Forest, Support Vector Machine, among others. This information shows the potential of AI techniques to contribute strongly to the process of environmental monitoring, the construction of public policies, aiming at the conservation of biodiversity.

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References

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Published

2020-11-16

How to Cite

Ventura, T. M., Oliveira, A. G. de, Ganchev, T. D., Marques, M. I., & Schuchmann, K.-L. (2020). Artificial Intelligence at the Service of Biodiversity in the Pantanal. Brazil Computing, (43), 23–26. https://doi.org/10.5753/compbr.2020.43.1792

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Section

Papers