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基于物联网的设施作物智能测控与诊断平台 被引量:2

The intelligent measurement and diagnostic platform for facilities crop based on Internet of Things(IOT)
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摘要 利用传感网络、物联网技术,远程实时感知农作物生长过程中的空气温、湿度、光照,土壤的湿度等农作物生长过程中的关键因素,并根据农作物的自身特点,建立其最适宜生长的成长模型,通过专家分析、人工干预、自动控制等手段为农作物提供最优的生长条件,实现信息实时采集与分析处理,实现蔬菜产业全程监测,实现农业生产预警与控制,最终达到优质高收,智能化,产业化的效果。 Using sensor networks and the Internet of Things, the key factors in the crop growth process is realized by the real-time remote sensing, such as the air temperature, humidity, light, soil moisture and so on. Based on the inherent characteristics of crops, the optimum growth model is established. Through expert analysis, manual intervention, automatic control and other methods, the optimum growing conditions of the crops is provided. The real-time collection and analysis processing of information is achieved to get vegetable industry whole process monitoring. The agricultural production warning and control are realized. The effects high-quality, high-income, intelligence and industrialization are achieved.
出处 《河北省科学院学报》 CAS 2011年第3期25-28,共4页 Journal of The Hebei Academy of Sciences
关键词 远程实时感知 无线传输与互联网技术 农产品成长模型 农业生产预警与控制 Real-time remote sensing Wireless and Internet technology Agricultural growth model Agricultural production warning and control
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