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An Automatic Irrigation Control System for Soilless Culture of Lettuce

机译:一种自动灌溉控制系统对莴苣的无土培养

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摘要

To achieve precise measurement of moisture content in the substrate and intelligent water-saving irrigation, a simple and low cost automatic irrigation control system based on ZigBee wireless network has been developed. A software with irrigation strategy was proposed based on the models of substrate wetting pattern, lettuce root zone and the evapotranspiration. The system could detect substrate moisture in real-time and irrigate automatically according to the threshold of substrate and the irrigation strategy. The average fresh weight per plant under intelligent irrigation are 16.60% and 11.37% higher than manual control irrigation at least in different growth stages in spring and summer, the average drainage rate of intelligent irrigation is 16.08% and 17.06% smaller than manual control irrigation in spring and summer, and the irrigation water use efficiency of intelligent irrigation is 68.03% and 98.61% higher than manual control irrigation in spring and summer. The results show that the system is a promising tool for scientific and rational irrigation decision.
机译:为了在基板和智能节水灌溉中实现精确测量水分含量,开发了一种基于ZigBee无线网络的简单和低成本的自动灌溉控制系统。基于底物润湿模式,莴苣根区和蒸发的模型提出了一种灌溉策略的软件。该系统可以根据基板的阈值和灌溉策略来实时检测基板水分并自动灌溉。每株植物的下智能灌溉的平均鲜重为16.60%,比在春天和夏天不同的生长阶段至少手动控制灌溉更高11.37%,智能灌溉的平均引流率比手动控制灌溉较小16.08%和17.06%春夏,智能灌溉的灌溉用水效率为68.03%,比春季和夏季的手工控制灌溉高出68.03%和98.61%。结果表明,该系统是科学合理灌溉决策的有希望的工具。

著录项

  • 作者

    Zhigang Liu; Qinchao Xu;

  • 作者单位
  • 年度 2018
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  • 原文格式 PDF
  • 正文语种 eng
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