Predicting use of resources by dairy cows using time series

Developing an automatic warning system for anomalous chicken dispersion and movement using deep learning and machine learning

“…To mitigate the eels’ mortality, turbines of hydroelectric power plants were turned down when the predicted migration rates exceeded a certain threshold ( Trancart et al, 2013 ). Salau and Krieter (2021) determined the resource usage of dairy cows, including lying cubicles, moving area, licking stone, cow brush water, and feeding trough, using autoregressive integrated moving average ( ARIMA; Box et al, 2015 ). The daily milk production of cows was predicted using ARIMA ( da Rosa Righi et al, 2020 ).…”