Lactation milk yield prediction in primiparous cows on a farm using the seasonal auto-regressive integrated moving average model nonlinear autoregressive exogenous artificial neural networks and Wood’s model

摘要

The aim of the present study was to compare the effectiveness of three approaches (the seasonal auto-regressive integrated moving average [SARIMA] model, the nonlinear autoregressive exogenous [NARX] artificial neural networks and Wood’s model) to the prediction of milk yield during lactation.