Classifying Invasive Alien Species in the Philippines Using Convolutional Neural Networks

• Main Authors: Aliño, Rey, Fernandez, Proceso L, Jr, Diesmos, Arvin
• Format: text
• Published: Archīum Ateneo 2023
• Subjects: Alien species Philippines; Biodiversity; Convolutional neural networks; Deep learning; Invasive; Life Sciences; Physical Sciences and Mathematics; Physics
• Online Access: https://archium.ateneo.edu/physics-faculty-pubs/162; https://jestec.taylors.edu.my/Special%20Issue%20ICITE2022/ICITE_2022_07.pdf
• Institution: Ateneo De Manila University

The proliferation of Invasive Alien Species (IAS) in the Philippines is a major threat to its biodiversity. Towards reducing such threat, deep learning technology can be applied to collect taxonomic information which may then assist in strategies and plans to fight IAS. This study presents implement...