| 摘 要: 针对传统规模化大田种植缺乏科学监测手段，农作物数据采集系统存在智能化程度不高、管理效率低下，难以实现对大田作物精准灌溉的问题，以及当前成熟商用的物联网通信技术存在低功耗与广覆盖难以两全的问题，开发出一个基于NB-IOT的大田管理精准农业系统，给出了系统的总体设计方案，详细阐释了系统的硬件与软件设计方法。该系统利用无线传感器节点采集作物的地面气象信息、土壤信息，以及作物的生长实况信息，通过NB-IOT传送到云服务器，实现对大田作物生长环境的远程监控和精准灌溉，在提高大田作物的智能化管理水平方面具有良好的推广前景。 |
| 关键词: NB-IOT；大田管理；精准农业；物联网；数据采集 |
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中图分类号: TP393.2
文献标识码: A
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| 基金项目: 2020 年广东省教育厅重点科研平台项目——基于深度学习的菠萝生长态势预测模型研究(2020ZDZX3092). |
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| Design and Implementation of Precision Agriculture System for Field Management based on NB-IOT |
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LI Dongrui, QIU Shangming, YANG Shanyou
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(School of Computer, Guangdong Agriculture Industry Business Polytechnic, Guangzhou 510507, China)
ldr_1983@126.com; smqiu@gdaib.edu.cn; syyang@gdaib.edu.cn
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| Abstract: Traditional large-scale field planting has been in shortage of scientific monitoring means, and the collection system of crop data has low intelligence and low management efficiency, which makes it difficult to achieve precise irrigation of field crops. At present, it is also difficult for the mature commercial Internet of things communication technology to achieve both low power consumption and wide coverage at the same time. In view of these problems, this paper proposes to develop a precision agriculture system for field management based on NB-IOT (Narrow Band Internet of Things). Hardware and software design methods are elaborated in the overall design scheme of the system. Wireless sensor nodes are used in the system to collect the ground meteorological information, soil information and real growth information of crops, which are transmitted to the cloud server through NB-IOT, achieving remote monitoring and precise irrigation of the growing environment of field crops. The proposed system has a good promotion prospect in improving the level of intelligent management of field crops. |
| Keywords: NB-IOT; field management; precision agriculture; Internet of things; data collection |
