ISEP - DM – Engenharia de Inteligência Artificial
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Browsing ISEP - DM – Engenharia de Inteligência Artificial by Author "Azevedo, Catarina Peniche Brandão"
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- Animal route prediction using artificial intelligencePublication . Azevedo, Catarina Peniche Brandão; Ramos, Carlos Fernando da SilvaThe conservation of wildlife is becoming increasingly critical, especially for endangered species, which face threats from habitat destruction and human interference. This dissertation explores the application of artificial intelligence to predict animal migration routes, an important aspect in species conservation. By using historical GPS tracking data, this study seeks to improve the understanding of the movement patterns of migratory animals. This work starts by addressing several research questions that culminate in the main question, ’How can artificial intelligence be used in predicting animal migration routes?’. These questions focus on the primary techniques and algorithms applied in these cases, the main tracking mechanisms used to gather animal movement information, and the societal implications of the use of AI in this context. Following the systematic review, the development of a feedforward neural network model design for animal route prediction was done. The choice of this model reflects the need for a computationally efficient solution capable of handling the complex data derived from the GPS tracking of African elephants. The model’s performance was improved with hyperparameter tuning, and metrics such as mean squared error (MSE) and R-squared were utilised, demonstrating promising predictive accuracy. By combining AI techniques with wildlife conservation efforts, this work aims to contribute towards mitigating the adverse impacts of human intrusion on migration corridors and enhance efforts to protect endangered species.