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首页> 外文期刊>Computers and Electronics in Agriculture >Functional requirements for a future farm management information system.
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Functional requirements for a future farm management information system.

机译:将来的农场管理信息系统的功能要求。

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As a subsequent step of the conceptual modelling and the information modelling involving the specification of the knowledge content of the decision processes and the involved data imbedded in the information entities, a derivation of the functional requirements was carried out to support and guide the selection of the technological infrastructure of a dedicated farm management information system (FMIS). The study employed the core-task analysis (CTA) method involving a combination of science-based modelling, practice-based modelling, and integrated information modelling. The "process" entities of the information flow model which represent the usage processes of the information, and of the "information" entities which represent the data elements were identified for the specific case of fertilising. This identification of the usage processes as well as the associated data elements showed the complexity of the decision making process within the domain of field operations. In a fully structured and formalised information flow decomposition, many actors are required to deliver information to the decision processes in order to fully emulate the tacit knowledge that the farmer are currently using. Especially, the concept of assisting services has to evolve in order to sustain the need of more automated decision processes in the future. New information management concepts and designs mean that farmers have to be ready to adopt new working habits and perhaps also undergo further training.Digital Object Identifier http://dx.doi.org/10.1016/j.compag.2011.02.005
机译:作为概念建模和信息建模的后续步骤,其中涉及决策过程的知识内容的规范以及嵌入在信息实体中的相关数据,因此对功能要求进行了推导,以支持和指导对产品的选择。专用农场管理信息系统(FMIS)的技术基础架构。该研究采用了核心任务分析(CTA)方法,该方法将基于科学的建模,基于实践的建模和集成的信息建模相结合。对于特定的施肥情况,确定了代表信息使用过程的信息流模型的“过程”实体和代表数据元素的“信息”实体。使用过程以及相关数据元素的这种标识显示了现场操作领域内决策过程的复杂性。在完全结构化和形式化的信息流分解中,需要许多参与者将信息传递到决策过程,以便完全模仿农民当前正在使用的默认知识。特别是,为了满足未来对更多自动化决策流程的需求,必须改进辅助服务的概念。新的信息管理概念和设计意味着农民必须准备好养成新的工作习惯,也许还需要接受进一步的培训。数字对象标识符http://dx.doi.org/10.1016/j.compag.2011.02.005

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