Improved cattle farm classification: leveraging machine learning and linked national datasets
While many countries have registries of livestock farms, it can be challenging to obtain information on their primary production type. For example, for Swiss farms registered as keeping cattle, a distinction can only be made between milk-producing and non-milk-producing farms. The Swiss cattle indus...
Saved in:
Main Authors: | Guy-Alain Schnidrig, Rahel Struchen, Sara Schärrer, Dagmar Heim, Daniela Hadorn, Gertraud Schüpbach-Regula, Giulia Paternoster |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-02-01
|
Series: | Frontiers in Veterinary Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fvets.2025.1517173/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Antibiotic Use and Resistance for Beef Cattle Producers
by: Chad Carr, et al.
Published: (2019-01-01) -
Antibiotic Use and Resistance for Beef Cattle Producers
by: Chad Carr, et al.
Published: (2019-01-01) -
The Prevalence and Risk Factors Associated with the Presence of Antibiotic Residues in Milk from Peri-Urban Dairy Cattle Farms in Kathmandu, Nepal
by: Erda E. Rame Hau, et al.
Published: (2025-01-01) -
Melanoma in a cattle
by: Yılmaz Koç, et al. -
Automated Cattle Monitoring System for Calving Time Prediction Using Trajectory Data Embedded Time Series Analysis
by: Wai Hnin Eaindrar Mg, et al.
Published: (2025-01-01)