Forest Systems Protection

The 2030 Agenda was adopted by UN Member States at the 2015 World Summit for Sustainable Development. Aimed at eradicating poverty, protecting the planet and ensuring prosperity for all people, 17 goals, 169 targets and a political declaration were established. Education, equality, access to energy, accessibility to water, infrastructure development or consumption patterns are some of the objectives of this international agenda. It is also universal, and therefore applicable to all countries, including the so-called developed countries.

In recent years, the worldwide problem of global warming has been confirmed, due to the so-called greenhouse effect, and caused by the increase in greenhouse gases due to the burning of fossil fuels, deforestation and agricultural production. Artificial Intelligence can contribute to combat the symptoms of climate change and thus influence Sustainable Development Goal 13: “Climate Action” to combat some of the causes of climate change.

On the other hand, in relation to Sustainable Development Goal 15: “Terrestrial Ecosystems”, we know that the continuous loss of forests threatens a wide variety of goods and services essential for human well-being, causing an increased risk of floods and droughts and access to drinking water. Moreover, the loss occurs primarily in tropical forests, which are home to at least two-thirds of terrestrial species and are the lungs of the planet. We know that illegal logging represents between 15 and 30% of world trade and has an estimated value of between 50 and 152 billion dollars.

The present line of research aims to develop an automatic timber recognition system that combines knowledge of the macroscopic anatomy of wood and Artificial Intelligence to develop a mobile application to be used as an early warning tool by security forces for suspicious shipments of illegally traded timber.

Contact: Rosana Montes Soldado

Related Researchers:

Letra:

  Name Email Area Cat.
Montes Soldado, Rosana rosana@uW37Ykjgr.es Computational Intelligence Area PhD