结合天气和奶牛行为改进泌乳曲线预测

Boonyarat Phadermrod, Varunya Attasena
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引用次数: 0

摘要

泰国属于热带气候,温度和湿度都很高,这可能会影响牛奶产量。因此,常用的根据不同地理区域产奶量推导的泌乳曲线模型不能很好地拟合泰国的实际产奶量。因此,本研究提出了一个混合的泌乳曲线模型和一个回归模型,以调整关于天气、奶牛行为和奶牛信息对产奶量的影响的预测。所有混合模型的性能均优于泌乳曲线模型。这表明模型预测的改进,并可能暗示天气、奶牛行为和奶牛信息在牛奶生产中发挥作用。
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Improving Lactation Curve Prediction by Incorporating Weather and Cow Behaviour
Thailand has tropical weather with both high temperatures and humidity, which can affect the milk yield. Thus, commonly used lactation curve models derived from milk yields in different geographic regions cannot fit the actual milk yield in Thailand well. This study, therefore, proposes a mixed model of the lactation curve model and a regression model to adjust the prediction with regard to the effect of weather, cow behaviour, and cow information on milk production. The performance of all mixed models is better than that of the lactation curve models. This indicates the improvements in the model prediction and may imply that weather, cow behaviour, and cow information play a part in milk production.
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来源期刊
Transactions on Electrical Engineering, Electronics, and Communications
Transactions on Electrical Engineering, Electronics, and Communications Engineering-Electrical and Electronic Engineering
CiteScore
1.60
自引率
0.00%
发文量
45
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