李 明, 赵春江, 李道亮, 王 成, 杨信廷. 日光温室黄瓜叶片湿润传感器校准方法[J]. 农业工程学报, 2010, 26(2): 224-230.
    引用本文: 李 明, 赵春江, 李道亮, 王 成, 杨信廷. 日光温室黄瓜叶片湿润传感器校准方法[J]. 农业工程学报, 2010, 26(2): 224-230.
    Calibration method of leaf wetness sensor for cucumber in solar greenhouse[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(2): 224-230.
    Citation: Calibration method of leaf wetness sensor for cucumber in solar greenhouse[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(2): 224-230.

    日光温室黄瓜叶片湿润传感器校准方法

    Calibration method of leaf wetness sensor for cucumber in solar greenhouse

    • 摘要: 叶片湿润时间是日光温室作物病害预警系统的关键输入因子,叶片湿润传感器可以实现对其实时、自动化监测,而由于叶片湿润时间受到环境和植物交互效应的影响,需要在日光温室实际环境中校准。以夏末秋初的日光温室盛果期迷你黄瓜为试材研究校准方法。叶片湿润传感器角度为45°,采用移液枪向传感器喷水和使传感器与实际湿润叶片接触两种方法来确定传感器的干湿阈值;比较了传感器与叶缘、叶尖、叶背面接触及位于叶片下方4种布置方法的监测效果;并考察了有无雨条件对传感器测量的影响。结果表明:叶片湿润传感器与实际湿润叶片接触的情况下得到干湿阈值6,此时传感器的监测效果较好,误差在1 h左右;传感器与叶缘、叶尖接触时的监测准确率较高,达到0.75~0.83;传感器在无雨条件下监测效果要好于有雨条件。总体来看,该叶片湿润传感器校准方法可以用于日光温室黄瓜叶片湿润时间监测,符合日光温室黄瓜病害预警系统的要求。

       

      Abstract: The Leaf Wetness Duration (LWD) is a key input factor of disease warning systems for crops in solar greenhouse. The leaf wetness sensors could automatically monitor LWD in real time. Since the interactions between microclimate and crops influence LWD, leaf wetness sensors should be calibrated in solar greenhouse conditions. In this study, the calibration method of leaf wetness sensor was developed with mini cucumber at fruit harvesting stage, and the experiment was conducted in the solar greenhouse during late summer and early autumn. The leaf wetness sensors were oriented at a 45° angle, and firstly the sensors was misted with water from a pipette, and then they were attached to the wet leaves. In these two different conditions, the dry/wetness threshold was determined. The monitoring results of different sensor deployments were compared, which included attaching to leaf margins, tips and lower surface and placing below the leave. The effects of rainy or non-rainy conditions on the measurement results were also investigated. The results showed that the dry/wetness threshold of “6” was obtained by attaching the sensors to the wet leaves, in this case, the monitoring effects were good and the errors were around 1 h; when the sensors were attached to leaf margins and tips, the monitoring accuracy (fraction of correct estimates) was around 0.75-0.83; furthermore, the monitoring effects in non-rainy conditions were better than rainy conditions. The results indicate that the calibration method for leaf wetness sensors can be used for monitoring leaf wetness duration of cucumber and meet the requirement of cucumber disease early warning system in solar greenhouse.

       

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