Baldin Michel, Breunig Tom, Cue Roger, De Vries Albert, Doornink Mark, Drevenak Jan, Fourdraine Robert, George Regi, Goodling Robert, Greenfield Randall, Jorgensen Matthew W, Lenkaitis Andy, Reinemann Doug, Saha Amit, Sankaraiah Chakra, Shahinfar Saleh, Siberski Cori, Wade Kevin M, Zhang Fan, Fadul-Pacheco Liliana, Wangen Steven, da Silva Tadeu E, Cabrera Victor E
MILC Group, San Luis Obispo, CA 93405, USA.
Allflex Livestock Intelligence, Madison, WI 53718, USA.
Animals (Basel). 2021 Jul 7;11(7):2025. doi: 10.3390/ani11072025.
Dairy farm decision support systems (DSS) are tools which help dairy farmers to solve complex problems by improving the decision-making processes. In this paper, we are interested in newer generation, integrated DSS (IDSS), which additionally and concurrently: (1) receive continuous data feed from on-farm and off-farm data collection systems and (2) integrate more than one data stream to produce insightful outcomes. The scientific community and the allied dairy community have not been successful in developing, disseminating, and promoting a sustained adoption of IDSS. Thus, this paper identifies barriers to adoption as well as factors that would promote the sustained adoption of IDSS. The main barriers to adoption discussed include perceived lack of a good value proposition, complexities of practical application, and ease of use; and IDSS challenges related to data collection, data standards, data integration, and data shareability. Success in the sustainable adoption of IDSS depends on solving these problems and also addressing intrinsic issues related to the development, maintenance, and functioning of IDSS. There is a need for coordinated action by all the main stakeholders in the dairy sector to realize the potential benefits of IDSS, including all important players in the dairy industry production and distribution chain.
奶牛场决策支持系统（DSS）是通过改进决策过程来帮助奶农解决复杂问题的工具。在本文中，我们关注的是新一代集成决策支持系统（IDSS），它还同时：（1）从农场内外的数据收集系统接收连续的数据流，以及（2）整合多个数据流以产生有洞察力的结果。科学界和相关的奶牛业群体在开发、传播和促进IDSS的持续采用方面并不成功。因此，本文确定了采用IDSS的障碍以及促进IDSS持续采用的因素。所讨论的采用IDSS的主要障碍包括认为缺乏良好的价值主张、实际应用的复杂性和易用性；以及与数据收集、数据标准、数据集成和数据可共享性相关的IDSS挑战。IDSS可持续采用的成功取决于解决这些问题，以及解决与IDSS的开发、维护和运行相关的内在问题。乳制品行业的所有主要利益相关者需要采取协调行动，以实现IDSS的潜在益处，包括乳制品行业生产和分销链中的所有重要参与者。
