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物联网在设施农业中的应用现状

State-of-the-Art Internet of Things in Protected Agriculture.

机构信息

School of Agricultural Engineering and Food Science, Shandong University of Technology, No. 12, Zhangzhou Road, Zibo 255049, Shandong, China.

Shandong Provincial Engineering Research Center of Vegetable Safety and Quality Traceability, No.12 Zhangzhou Road, Zibo 255049, Shandong, China.

出版信息

Sensors (Basel). 2019 Apr 17;19(8):1833. doi: 10.3390/s19081833.

Abstract

The Internet of Things (IoT) has tremendous success in health care, smart city, industrial production and so on. Protected agriculture is one of the fields which has broad application prospects of IoT. Protected agriculture is a mode of highly efficient development of modern agriculture that uses artificial techniques to change climatic factors such as temperature, to create environmental conditions suitable for the growth of animals and plants. This review aims to gain insight into the state-of-the-art of IoT applications in protected agriculture and to identify the system structure and key technologies. Therefore, we completed a systematic literature review of IoT research and deployments in protected agriculture over the past 10 years and evaluated the contributions made by different academicians and organizations. Selected references were clustered into three application domains corresponding to plant management, animal farming and food/agricultural product supply traceability. Furthermore, we discussed the challenges along with future research prospects, to help new researchers of this domain understand the current research progress of IoT in protected agriculture and to propose more novel and innovative ideas in the future.

摘要

物联网(IoT)在医疗保健、智慧城市、工业生产等领域取得了巨大的成功。设施农业是物联网具有广阔应用前景的领域之一。设施农业是一种现代农业的高效发展模式,它利用人工技术改变温度等气候因素,创造适合动植物生长的环境条件。本综述旨在深入了解物联网在设施农业中的应用现状,并确定系统结构和关键技术。因此,我们对过去 10 年设施农业中物联网的研究和部署进行了系统的文献回顾,并评估了不同学者和组织的贡献。所选参考文献分为三个应用领域,分别对应于植物管理、动物养殖和食品/农产品供应可追溯性。此外,我们讨论了所面临的挑战和未来的研究前景,以帮助该领域的新研究人员了解物联网在设施农业中的当前研究进展,并在未来提出更具创新性的想法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2aa8/6514985/25613cf07e0a/sensors-19-01833-g001.jpg

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