物联网在实现欧洲可持续农业中的作用

P. Kidd
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引用次数: 12

摘要

考虑的是应用物联网(IoT)作为可持续农业的推动者。与其使用物联网来支持精准农业,还不如使用物联网来更好地理解和支持生物多样性的管理,以及其他自然资源(如灌溉用水)的管理。精准农业被认为是一种过去从工业规模集约化农业系统中发展出来的技术。在这种情况下,事物是由区域、田野、农场、景观和这些事物中的关键参数来定义的。通过启用互联网的系统,可以建立一个平台,在保护和加强生物多样性(受到工业规模集约化农业的严重威胁)以及减少用水的背景下管理农业活动。这样的物联网应用将为未来可持续的农业集约化提供基础,以满足预计的粮食需求增长,但在某种程度上尊重自然约束,并在不同层面(田地、农场和景观)的生物多样性方面提供系统级效益。这种系统还可以促进土地使用管理,从而有助于就何处加强生产和何处减少生产作出决定,因为它将提供与生态系统相适应的较长时间尺度的数据。从中长期来看,这些数据可以用来确定农业实践和技术对生物多样性等因素的确切影响,从而帮助确定复杂的相互关系。这样一个系统将为支持农民调整他们的农艺实践提供基础,以满足当地生物多样性的要求和自然资源的限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The role of the internet of things in enabling sustainable agriculture in Europe
Considered is the application of the Internet of Things (IoT) as an enabler for sustainable agriculture. Rather than using the IoT in support of precision agriculture, which it is argued is a technology of the past that grew out of a system of industrial scale intensive agriculture, it is proposed that the IoT in agriculture should be used to better understand and support the management of biodiversity, as well as the management of other natural resources such as water used for irrigation. In this context, things are defined by zones, fields, farms, landscapes, and key parameters within these things. Through Internet enabled systems, a platform could be built for managing farm activities within the context of preserving and enhancing biodiversity (which is severely threatened by industrial scale intensive agriculture) as well as reducing water use. Such an IoT application will provide the basis for future sustainable intensification of agriculture to meet the projected growth in the demand for food, but in a way that respects natural constraints, and which delivers system-level benefits in terms of biodiversity at different levels (field, farm, and landscape). Such a system could also enable land-use management which could facilitate decisions to be made about where to intensify production and where to de-intensify, as it would provide data with extended timescales appropriate to that of ecological systems. Such data could be used in the medium to long term to establish exactly what effect agricultural practices and technologies are having upon factors such as biodiversity, helping to identify complex interrelationships. Such a system would then provide a basis to support farmers in adjusting their agronomy practices to satisfy local biodiversity requirements and natural resource limitations.
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