数据驱动和可互操作的智能农业:基于物联网的耕地作物用例

George Routis, Marios Paraskevopoulos, I. Vetsikas, I. Roussaki, D. Stavrakoudis, D. Katsantonis
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引用次数: 1

摘要

农业部门的可持续性依赖于利用现有的所有技术(并进一步推进这些技术),以降低成本和对环境的影响,同时保持产量。DEMETER是“地平线2020”的一个项目,旨在通过农业部门的智能数据共享,以可互操作、可重复使用和安全的方式,使农民能够更好地利用其现有的运营环境,并创建新的商业模式。本文提出了一个具体的用例,该用例使用了为优化水稻和玉米灌溉和施肥管理过程而开发的设施。它提供了项目目标和概念的概述,然后描述了特定用例的各种模块,以及它们如何合作以建立合适的决策支持机制。最后,详细说明了如何以可互操作且与供应商无关的方式促进重用单个构建块的其他类似服务的开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data-Driven and Interoperable Smart Agriculture: An IoT-based Use-Case for Arable Crops
The sustainability of the agricultural sector relies on exploiting all technologies available today (and further advancing them), in order to decrease the costs and the environmental impact, maintaining yields at the same time. DEMETER is a Horizon 2020 project that aspires to empower farmers to better exploit their existing operational context and create new business models through smart data sharing in the agricultural sector, in an interoperable, reusable, and safe manner. This paper presents a specific use-case that uses the facilities developed in order to optimize rice and maize irrigation and fertilization management processes. It provides an overview of the project’s objectives and concepts and then describes the various modules of the specific use-case and how they cooperate to establish suitable decision support mechanisms. Finally, it elaborates on how the development of other similar services reusing the individual building blocks, in an interoperable and vendor-neutral manner, is facilitated.
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