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邀请评论:利用数据驱动的决策支持工具帮助奶农提高经济绩效。

Invited review: Helping dairy farmers to improve economic performance utilizing data-driving decision support tools.

机构信息

Department of Dairy Science,University of Wisconsin-Madison,1675 Observatory Dr.,Madison,WI 53706,USA.

出版信息

Animal. 2018 Jan;12(1):134-144. doi: 10.1017/S1751731117001665. Epub 2017 Jul 18.

DOI:10.1017/S1751731117001665
PMID:28716166
Abstract

The objective of this review paper is to describe the development and application of a suite of more than 40 computerized dairy farm decision support tools contained at the University of Wisconsin-Madison (UW) Dairy Management website http://DairyMGT.info. These data-driven decision support tools are aimed to help dairy farmers improve their decision-making, environmental stewardship and economic performance. Dairy farm systems are highly dynamic in which changing market conditions and prices, evolving policies and environmental restrictions together with every time more variable climate conditions determine performance. Dairy farm systems are also highly integrated with heavily interrelated components such as the dairy herd, soils, crops, weather and management. Under these premises, it is critical to evaluate a dairy farm following a dynamic integrated system approach. For this approach, it is crucial to use meaningful data records, which are every time more available. These data records should be used within decision support tools for optimal decision-making and economic performance. Decision support tools in the UW-Dairy Management website (http://DairyMGT.info) had been developed using combination and adaptation of multiple methods together with empirical techniques always with the primary goal for these tools to be: (1) highly user-friendly, (2) using the latest software and computer technologies, (3) farm and user specific, (4) grounded on the best scientific information available, (5) remaining relevant throughout time and (6) providing fast, concrete and simple answers to complex farmers' questions. DairyMGT.info is a translational innovative research website in various areas of dairy farm management that include nutrition, reproduction, calf and heifer management, replacement, price risk and environment. This paper discusses the development and application of 20 selected (http://DairyMGT.info) decision support tools.

摘要

本文旨在描述威斯康星大学麦迪逊分校(UW)乳制品管理网站 http://DairyMGT.info 上开发和应用的一套 40 多个计算机化奶牛场决策支持工具的发展和应用。这些数据驱动的决策支持工具旨在帮助奶农提高决策水平、环境管理和经济效益。奶牛场系统具有高度动态性,不断变化的市场条件和价格、不断变化的政策和环境限制以及越来越多变的气候条件共同决定了其性能。奶牛场系统还与奶牛群、土壤、作物、天气和管理等高度集成且相互关联的组件紧密相关。在这些前提下,按照动态综合系统方法评估奶牛场至关重要。为此,必须使用有意义的数据记录,而这些数据记录的可用性也在不断提高。这些数据记录应在决策支持工具中使用,以实现最佳决策和经济效益。UW-乳制品管理网站(http://DairyMGT.info)中的决策支持工具是通过多种方法的组合和改编以及经验技术开发的,这些工具始终具有以下主要目标:(1)高度用户友好,(2)使用最新的软件和计算机技术,(3)针对农场和用户,(4)基于可用的最佳科学信息,(5)随着时间的推移保持相关性,(6)为复杂的农民问题提供快速、具体和简单的答案。DairyMGT.info 是一个在奶牛场管理的各个领域进行转化创新研究的网站,包括营养、繁殖、犊牛和小母牛管理、替代、价格风险和环境。本文讨论了 20 个选定的决策支持工具(http://DairyMGT.info)的开发和应用。

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