丹麦使用统计数据保护新生小猪

DENMARK - By using statistical models, scientists have developed a system that can help the farmer to monitor farrowing and to automatically and intelligently adjust the temperature. Monitoring of farrowing can help reduce mortality in newborn piglets. The challenge is to divine exactly when farrowing begins so you do not waste time sitting around waiting. This is a problem that scientists from Aarhus University have been attempting to solve. They have developed an automatic system that can predict the onset of farrowing more precisely. The system is based on online sensor information and a statistical model about sow behaviour around the time of farrowing, including nest-building.
　　Scientists have also developed an affiliated tool that can help the farmer to decide whether the floor heating in the individual pen needs to be regulated. The decision tool evaluates the costs associated with the heating in relation to the expected higher income from lower piglet mortality and then attempts to set a strategy that will give the best outcome for the farmer.
　　丹麦——科学家已经开发出一种系统，通过使用统计模型,，可以帮助农民监控产小猪，自动和智能地调节温度。监测产小猪可以帮助减少新生仔猪的死亡率。面临的挑战是什么时候产小猪开始，因此你不用浪费时间坐着等待。来自奥尔胡斯大学的科学家一直试图解决这个问题。他们已经开发了一个自动化系统，可以更准确地预测产小猪的发生。在线系统是基于传感器信息和统计模型对母猪分娩前后行为的分析，包括搭窝。
　　科学家也开发了一个附属工具，可以帮助农民决定个人的地板采暖是否需要规范。加热的决策工具评估相关的成本，及从降低仔猪死亡率的预期的更高的收入，然后设置策略，将给农民最好的结果。