This project explores estimating pig weight using depth imagery and pixel occupancy analysis. It uses image datasets labeled with actual weights and processes them through Jupyter notebooks implementing linear regression and XGBoost models. The approach assigns depth-based pixel weights to calculate total estimated mass, enabling scalable, camera-based livestock monitoring. Designed for resource-limited settings, it can operate offline and be extended to other livestock species.
Pig Weight Estimation (Pixel Occupancy Analysis)
Pig Weight Estimation (Pixel Occupancy Analysis)
This project explores estimating pig weight using depth imagery and pixel occupancy analysis. It uses image datasets labeled with actual weights and processes them through Jupyter notebooks implementing linear regression and XGBoost models...
Organization
GitHub user
Deployment Model
Edge
Agricultural Production Step
Livestock Monitoring
End User
Farmers, Researchers
Category
Used for
Livestock
TRL
5-6
Community Engagement
Low
Number of Forks
0
Country
Universal
Licence
Disclamer
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