ForestVISION - Forest Floral Species Classification and Clustering

• Autor(a) principal: Domingos, Gonçalo Gomes
• Data de Publicação: 2023
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.6/14030
• topic: Aprendizagem Automática; Inteligência Artificial; Pré-Processamento de Data Sets; Problema de Classificação; Segmentação Semântica; Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática

This work aims to solve one of the many tasks responsible for management and monitoring of forests, specifically around Portugal. The task is to classify different species present in the Portugal flora. With the use of artificial intelligence, we were able to successfully distinguish different species present within the images provided. A data set was also created from scratch since there was no public available information regarding the different species around Portugal. Two data sets were created although one of them did not meet the expected results and gave us a lot of problems. However the expected 8 band imagery data set gave us acceptable results. In this thesis, all the steps will be covered with great detail along the chapters, from the build up of the data sets to the real testing of each model tested. We made sure to study the most recent technology and therefore explore the Transformers that have been raising awareness in the Computer Vision field for their characteristics. There is also some ideas for a future development of the respective work, since there can still be some exploration to be made to complete this work.