A dataset for machine learning in agriculture, contributed to increase participation from the African continent in data science. It contains observations of chickens, including breed, age, weight, feed consumption, and daily egg production. The data was sourced from poultry breed information websites.
Use Cases
- Predicting egg yield based on breed, age, and feed consumption mentioned in the description.
- Classifying chicken breeds or classes based on physical attributes like comb type and plumage color.
- Analyzing the relationship between environmental factors like sunlight exposure and egg-laying performance.
- Estimating chicken weight or health indicators from daily observation data.
Strengths
- Includes multiple features relevant to poultry farming, such as breed, daily egg count, weight, and feed consumption.
- Explicitly licensed as CC0-1.0 for permissive use.
Limitations
- Row count and file size are unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Last update date is unknown; freshness unverified.
Provenance
- Source
- openml
- Collection Method
- Likely compiled from poultry breed information websites listed in the acknowledgements.