以正确和最佳方式喂养奶牛正面临越来越大的挑战：一是公众越来越关注氮磷排放对环境的影响;二是在气候挑战方面,总体的目标是减少碳足迹;三是随着遗传选育技术的应用,奶牛对日粮营养成分的要求也相应提高。为应对这些挑战,奶农需应用关于奶牛营养的最新知识,密切监控投入端和产出端。投入端包括监测每种饲料数量、质量,包括营养成分含量;产出端监测奶牛的表现,即产奶量、体重增加/减少。多年来,丹麦SEGES创新公司与饲料设备制造商、乳品厂、牛奶记录和实验室等利益相关者合作,致力于解决这些问题。首先,该公司采用手动生成的数据监测投入端和产出端。此外,还与其他北欧国家联合开发动态饲料评估系统NorFor,用于优化日粮配方、评估饲喂效果。应用该系统的挑战在于,手动监控耗费大量人力,且仅能提供特定日期的情况,无法涵盖每日数据全貌。为克服该挑战,公司致力于实现喂料设备数据的自动记录和传输功能。目前,完整数据链已运行,来自仓库、实验室、饲养设备、奶牛场的数据可自动传输到丹麦的中央数据库。该系统利用数据自动计算每日效率,包括营养参数及各种关键数据。养殖者和顾问可参考不同类型的报告评估饲喂模式,以实现奶牛的最佳生产性能、最小化气候影响并提升经济效益。

Feeding the dairy cow the right and optimal way is an increasing challenge. There is an increasing focus on the overflow on especially nitrogen and phosphorus to the environment. The climate challenge in general is setting requirement for decrease the Carbon Footprint. The genetic improvement increases the requirement for the composition of the nutrients in the diet. To face these challenges the dairy farmer needs to monitor both the input and the output side very closely and of course use newest knowledge about cattle nutrition. The input side consist of monitoring the amount of each feedstuff and the quality including content of nutrients. The output side is the performance of the cow meaning the milk production and gain/loss in weight. In Denmark SEGES Innovation has been working on these issues for years together with relevant stakeholders like feed equipment manufacturers,dairies,milk recording and laboratories. For a start we used manual generated data,both on the input and the output side. We have together with other Nordic Countries developed a dynamic feed evaluation system,NorFor,which is used for both optimizing the ration and for evaluating the performed feeding. The challenge has been that it is labor costly to do manually and that the manual monitoring will be a snapshot on the specific day,and not the whole picture with data from each day. The overcome the challenge,there has been focus on getting the data automatic recorded by the feeding equipment and get data automatic transferred. Today the full data chain is operational. Data from the storage,the laboratory,the feeding equipment,the dairy are transferred automatic to the Central Cattle database in Denmark. In the management system data are used for automatic daily efficiency calculation including parameters on nutrients and different relevant key figures. The farmers and the advisor use the output via different kind of reports to evaluate the feeding for the best of the cow,the production,the climate, and the economy.