Deep Learning-Based Cattle Vocal Classification Model and Real-Time Livestock Monitoring System with Noise Filtering
The priority placed on animal welfare in the meat industry is increasing the importance of understanding livestock behavior. In this study, we developed a web-based monitoring and recording system based on artificial intelligence analysis for the classification of cattle sounds. The deep learning cl...
Main Authors: | Dae-Hyun Jung, Na Yeon Kim, Sang Ho Moon, Changho Jhin, Hak-Jin Kim, Jung-Seok Yang, Hyoung Seok Kim, Taek Sung Lee, Ju Young Lee, Soo Hyun Park |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
|
Series: | Animals |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-2615/11/2/357 |
Similar Items
-
Segmentation of Speech and Humming in Vocal Input
by: A. J. Sporka, et al.
Published: (2012-09-01) -
A Context-Aware Method-Based Cattle Vocal Classification for Livestock Monitoring in Smart Farm
by: Farook Sattar
Published: (2022-02-01) -
Vocal Creativity in Elephant Sound Production
by: Angela S. Stoeger, et al.
Published: (2021-08-01) -
Voice Analysis and Classification System Based on Perturbation Parameters and Cepstral Presentation in Psychoacoustic Scales
by: M. I. Vashkevich, et al.
Published: (2022-03-01) -
Sound-Based Unsupervised Fault Diagnosis of Industrial Equipment Considering Environmental Noise
by: Jeong-Geun Lee, et al.
Published: (2024-11-01)