Poultry fecal imagery dataset for health status prediction: A case of South-West Nigeria-Reference-Cited by-同舟云学术

Poultry fecal imagery dataset for health status prediction: A case of South-West Nigeria

Published:2023-10 Issue: Volume:50 Page:109517
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Aworinde Halleluyah O.^ORCID,Adebayo Segun^ORCID,Akinwunmi Akinwale O.^ORCID,Alabi Olufemi M.^ORCID,Ayandiji Adebamiji,Sakpere Aderonke B.,Oyebamiji Abel K.^ORCID,Olaide Oke,Kizito Ezenma,Olawuyi Abayomi J.

Publisher

Elsevier BV

Subject

Multidisciplinary

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Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessment of Deep Learning Models for Poultry Disease Detection and Diagnostics: A Survey Paper;International Journal of Innovative Science and Research Technology (IJISRT);2024-07-26

2. Fecal-based Health Status Prediction in Poultry Birds: A Blended Approach using Handcrafted and Deep Features;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11

3. Enhancing poultry health management through machine learning-based analysis of vocalization signals dataset;Data in Brief;2023-10