Arbeitswissenschaft
Arbeitswissenschaft
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劳动科学
DOI：
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发表时间：
1994
期刊：
影响因子：
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通讯作者：
M. Schick
中科院分区：
文献类型：
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作者：
M. Schick
考虑到生产系统的工作经济性优化和传感器控制的质量保证，自动化过程越来越多。除了为人类、动物和机器的使用提供决策事实之外，“智能农业”（SF）系统在作物生产过程（例如施肥、植物保护、机械使用、灌溉）以及牲畜养殖（挤奶、喂养、排粪、通风、健康监测）中具有高效、减少排放和节约资源的潜力。几个农业系统之间的联网产生了额外的协同效应。目前还不清楚在什么条件下这些新的农业技术，包括前和后安装区域提供附加价值，主要是小规模农业在经济上是可行的。此外，在考虑到人口变化的情况下，非常需要研究这些系统在农业实践中的可接受性。
For consideration of work economic optimization of production systems and quality assur-ance sensor-controlled, automated processes are increasingly available. In addition to deci-sion-making facts provide for the use of human, animal and machine offer the "Smart Farming" (SF) systems potential for efficient, reducing emissions and conserve resources processes in crop production (for example fertilization, plant protection, machinery use, irriga-tion) but also in livestock farming (milking, feeding, mucking, ventilation, health monitoring). The networking between several agricultural systems creates additional synergies. It is still unclear under what conditions these new technologies of farming incl. the pre- and post-mounted areas provide added value and in the predominantly small-scale farming are eco-nomically viable. In addition, there is a great need for research on the acceptability of the systems in agricultural practice, also taking into account the demographic changes.