Litcius/Paper detail

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

M. Gertz, K. Große-Butenuth, Wolfgang Junge, B. Maassen-Francke, Ch. Renner, Heiko Sparenberg, J. Krieter

2020Computers and Electronics in Agriculture55 citationsDOI

Topics & Concepts

Computer scienceArtificial intelligenceAlgorithmData miningSmart Agriculture and AIAdvanced Chemical Sensor TechnologiesFood Supply Chain Traceability
Using the XGBoost algorithm to classify neck and leg activity sensor data using on-farm health recordings for locomotor-associated diseases | Litcius