A High-Performance Day-Age Classification and Detection Model for Chick Based on Attention Encoder and Convolutional Neural Network

SIMPLE SUMMARY: Most management methods for poultry farming currently rely on human labor. Such management is labor-intensive and inefficient, especially in identifying poultry growth stages. Given the lack of a high-precision artificial method for chick’s day-age detection, a high-performance day-a...

Descripción completa

Detalles Bibliográficos
Autores principales: Ren, Yufei, Huang, Yikang, Wang, Yichen, Zhang, Shijie, Qu, Hao, Ma, Jie, Wang, Longhe, Li, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495009/
https://www.ncbi.nlm.nih.gov/pubmed/36139285
http://dx.doi.org/10.3390/ani12182425

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9495009/
https://www.ncbi.nlm.nih.gov/pubmed/36139285
http://dx.doi.org/10.3390/ani12182425

Ejemplares similares