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Smart navigation - salvation for precision agriculture?!

机译:智能导航 - 精密农业救恩?!

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Managing the spatial variability of soil fertility parameters is one of the oldest and still existing significant obstacles towards sustainable land use in agriculture. Local Resource Management (LRM) is a concept to address the spatial variability of soils by variable inputs and operations in agricultural practice. Precision Agriculture (PA) is the technological framework for implementing LRM on a practical level. With the availability of satellite aided positioning and navigation (GPS) and sheer unlimited data processing and storage capacities at the beginning of the 1990s it seemed that PA would rapidly change the way of agricultural production. However, 10 years later PA is still a freak technology in agriculture, whereas in industrial and service sectors the same technologies have boosted development and profits. The low economic returns can be blamed as the key obstacles for the development of PA. This is because PA has been first and is still predominately applied to fertilisers and to a much smaller extent to pesticides. But their share in the total costs of production are constantly declining, and by this also the margins to finance even the basic costs of PA technology. Substantial benefits from managing the spatial variability of soils can only be expected if implementation costs or labour costs for PA can be reduced. Reducing investment costs by increasing the efficiency of agricultural inputs has been proved on large scale farming in countries in the third world, but is not applicable for most of the scenarios in developed countries. With machinery efficiency running on top in agriculture of developed countries large areas can be maintained only by a single person. Here, the only source for financing implementation and variable costs are the labour costs of the 'last man'. If this 'last man' will be replaced by smart navigation systems the saving of labour expenses and increases in machinery efficiency (e.g. by night operations) will gain substantial profits. On top of that 'classical' PA applications, such as variable rate fertiliser and pesticide applications, would provide well appreciated added values improving the overall benefit of the system.
机译:管理土壤肥力参数的空间变异是最古老,仍然存在对农业可持续土地利用的重要障碍之一。本地资源管理(LRM)是通过农业实践中可变投入和运营解决土壤空间变异性的概念。精密农业(PA)是在实际水平上实施LRM的技术框架。随着卫星辅助定位和导航(GPS)和纯粹无限的数据处理和存储能力在20世纪90年代初,PA似乎将迅速改变农业生产方式。然而,10年后PA仍然是农业的怪胎技术,而在工业和服务领域则相同的技术促进了发展和利润。低经济回报可以作为PA开发的关键障碍。这是因为PA首先是仍然主要应用于肥料和杀虫剂的程度更小。但他们在生产总成本中的份额不断下降,而且这也是甚至是PA技术的基本成本的融资的利润。如果可以减少PA的实施成本或劳动力成本,则只能预期管理土壤空间变异性的大量效益。通过提高农业投入效率降低投资成本已在第三世界国家的大规模农业中证明了大规模农业,但不适用于发达国家的大部分情况。随着发达国家农业农业跑步的机械效率,大面积只能由一个人保持。在这里,融资实施和可变成本的唯一来源是“最后一个人”的劳动力成本。如果这个'最后一个人'将被智能导航系统所取代,则节省劳动力费用并增加机械效率(例如,夜间运营)将获得大量利润。最重要的是“经典的PA应用,例如可变速率肥料和农药应用,将提供良好的额外增值,提高了系统的整体利益。

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