Forest quality assessment based on bird sound recognition using convolutional neural networks

• Main Authors: Effendy, Nazrul, Ruhyadi, Didi, Pratama, Rizky, Rabba, Dana Fatadilla, Aulia, Ananda Fathunnisa, Atmadja, Anugrah Yuwan
• Format: Article PeerReviewed
• Language: English
• Published: Institute of Advanced Engineering and Science 2022
• Subjects: Engineering; Nuclear Engineering
• Online Access: https://repository.ugm.ac.id/283970/1/Effendy_TK.pdf; https://repository.ugm.ac.id/283970/; https://ijece.iaescore.com/index.php/IJECE/article/view/26231; http://doi.org/10.11591/ijece.v12i4.pp4235-4242
• Institution: Universitas Gadjah Mada

Deforestation in Indonesia is in a status that is quite alarming. From year to year, deforestation is still happening. The decline in fauna and the diminishing biodiversity are greatly affected by deforestation. This paper proposes a bioacoustics-based forest quality assessment tool using Nvidia Jet...