首页> 外文期刊>Journal of Sensors >Analysis of the Accuracy of an FDR Sensor in Soil Moisture Measurement under Laboratory and Field Conditions
【24h】

Analysis of the Accuracy of an FDR Sensor in Soil Moisture Measurement under Laboratory and Field Conditions

机译:实验室条件下土壤水分测量中FDR传感器的精度分析

获取原文
           

摘要

Soil water content (SWC, % vol) is a key factor affecting plant growth and development. SWC measurement is vital to rational use of water resources for irrigation, and the accuracy of sensors in SWC measurement is of significant importance to smart data-driven irrigation. Here, a laboratory experiment and a field lysimetric experiment were conducted to evaluate the accuracy of Insentek sensors under various soil conditions (1.1 to 1.5 bulk densities and sand to clay soil textures) and irrigation levels (30, 45, and 60?mm), in 2018 and 2019. A microweighing lysimeter and oven-drying method were used as standard methods to compare the Insentek method. The root mean square error (RMSE, % vol) and relative prediction deviation (RPD) between the Insentek and microlysimetric SWC values were 0.89–1.04% vol and 5.6–6.8, respectively, under laboratory condition. The RPD value is larger than the threshold value of 4.0, indicating the accuracy of the Insentek sensors is reliable under laboratory condition. Except for 60?mm irrigation treatment, the RMSE between Insentek and the oven-drying method under field condition was 1.44–1.93% vol, and the RPD value was 1.56–1.93, lower than the threshold value of 4.0. The tiny gap between the Insentek sensor and soil may accelerate water infiltration along the probe 0-3?d after irrigation while increase air filling 5–7?d after irrigation, causing greater RMSE and lower RPD values. The dissatisfied performance in field condition may also be associated with the obvious drawbacks of oven-drying method, such as disturbance in soil sampling. When using oven-drying method to analyze the accuracy of the Insentek sensors in field condition, the concerns should be well addressed.
机译:土壤水分含量(SWC(体积分数))是影响植物生长和发展的关键因素。 SWC测量是为灌溉水资源合理利用的关键,而传感器在测量SWC精度的智能数据驱动的灌溉显著重要性。这里,实验室实验和现场lysimetric实验以评价Insentek传感器的各种土壤条件下的精确度(1.1〜1.5堆积密度和砂粘土土壤质地)和灌溉水平(30,45,和60 -3毫米),在2018年和2019年甲microweighing蒸渗和烤箱干燥方法被用作标准的方法来比较Insentek方法。的Insentek和microlysimetric SWC值之间的均方根误差(RMSE,%体积)和相对预测偏差(RPD)分别为0.89-1.04%(体积)和5.6-6.8,实验室条件下进行。的RPD值小于4.0的阈值时,指示所述Insentek传感器的准确度是实验室条件下可靠。除了60?毫米灌溉处理,田间条件下Insentek和烘箱干燥法之间的RMSE为1.44-1.93%(体积),和RPD值为1.56-1.93,比4.0的阈值低。所述Insentek传感器和土壤之间的微小间隙可以沿探针0-3加快水的渗透?灌溉后d而增加空气灌溉后填充5-7?d,引起更大的RMSE和更低的RPD值。在大田条件下的性能不满也可以与烘箱干燥方法的明显的缺点,如在土壤取样的干扰相关联。当使用烘箱干燥的方法来分析Insentek传感器在大田条件下的准确性,关注应该是很好的解决。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号