Evaluation of pre-processing methods for the prediction of cattle behaviour from accelerometer data

Autor: Nicolas Bedere, Sébastien Couvreur, Sébastien Aubin, Aurélien Madouasse, Etienne Goumand, Guy Plantier, Lucile Riaboff, Alain Chauvin

Publikováno v: Computers and Electronics in Agriculture
Computers and Electronics in Agriculture, Elsevier, 2019, 165
Computers and Electronics in Agriculture, Elsevier, 2019, 165, pp.104961. ⟨10.1016/j.compag.2019.104961⟩

International audience; Monitoring livestock behaviour can be a useful way to improve farm animal management and to detect individual health events. The use of automated systems that predict several daily behaviours from accelerometer data is growing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::851c837c2d459010cc17dad1af1cd56d
https://hal.archives-ouvertes.fr/hal-02375859