Effect of introducing weather parameters on the accuracy of milk production forecast models
The objective of this study was to analyze the effect of adding meteorological data to the training process of two milk production forecast models. The two models chosen were the nonlinear auto-regressive model with exogenous input (NARX) and the multiple linear regression (MLR) model. The accuracy...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2020-03-01
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| Series: | Information Processing in Agriculture |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S221431731830355X |