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

Saved in:
Bibliographic Details
Title: Poultry fecal imagery dataset for health status prediction: A case of South-West Nigeria.
Authors: Aworinde HO; College of Computing and Communication Studies, Bowen University, Iwo, Nigeria., Adebayo S; College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria., Akinwunmi AO; College of Computing and Communication Studies, Bowen University, Iwo, Nigeria., Alabi OM; College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria., Ayandiji A; College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria., Sakpere AB; Computer Science Department, University of Ibadan, Ibadan, Nigeria., Oyebamiji AK; College of Agriculture, Engineering and Science, Bowen University, Iwo, Nigeria., Olaide O; College of Computing and Communication Studies, Bowen University, Iwo, Nigeria., Kizito E; College of Computing and Communication Studies, Bowen University, Iwo, Nigeria., Olawuyi AJ; College of Computing and Communication Studies, Bowen University, Iwo, Nigeria.
Source: Data in brief [Data Brief] 2023 Aug 23; Vol. 50, pp. 109517. Date of Electronic Publication: 2023 Aug 23 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101654995 Publication Model: eCollection Cited Medium: Internet ISSN: 2352-3409 (Electronic) Linking ISSN: 23523409 NLM ISO Abbreviation: Data Brief Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Be the first to leave a comment!
You must be logged in first