Article

Using the XGBoost algorithm to classify neck and leg activity sensor data using on-farm health recordings for locomotor-associated diseases

2022-06-01

Abstract excerpt

The objective of this paper was to analyse the feasibility of an automated detection system for locomotor-related diseases under strictly practical conditions. For this purpose, motion sensor data and on-farm health recordings of locomotor-, respiratory- and udder-health issues of 397 cows on a commercial farm in Germany were recorded, employing two sensors at the leg and neck simultaneously. Sensor Data and healt...

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Literature Corpus work: 01097332-c7c2-58e5-83db-1e3f4ba04500
DOI: 10.1016/j.compag.2020.105404

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