Broiler stunned state detection based on an improved fast region-based convolutional neural network algorithm

An improved fast region-based convolutional neural network (RCNN) algorithm is proposed to improve the accuracy and efficiency of recognizing broilers in a stunned state. The algorithm recognizes 3 stunned state conditions: insufficiently stunned, moderately stunned, and excessively stunned. Image s...

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Detalles Bibliográficos
Autores principales: Ye, Chang-wen, Yousaf, Khurram, Qi, Chao, Liu, Chao, Chen, Kun-jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Processing and Products
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7587773/
https://www.ncbi.nlm.nih.gov/pubmed/32416852
http://dx.doi.org/10.3382/ps/pez564

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7587773/
https://www.ncbi.nlm.nih.gov/pubmed/32416852
http://dx.doi.org/10.3382/ps/pez564

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