车载式大田土壤电导率在线检测系统设计与试验
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国家重点研发计划项目(2019YFE0125200)、中国科学院战略性先导科技专项(XDA28090108)和河北省重点研发计划项目(21327205D)


Design and Experiment of Vehicle-mounted Field Soil Electrical Conductivity Online Detection System
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    摘要:

    现有大田土壤电导率检测装置主要以手持式为主,存在检测效率低、实时性差等问题。基于电流-电压四端法原理设计了一种车载式大田土壤电导率在线检测系统,系统主要由恒流信号源电路、信号处理电路、Arduino控制器、GPS定位模块及车载传感器等组成,可在线检测大田土壤电导率。通过实验室和大田试验对系统性能进行了验证,试验结果表明,系统具有较好稳定性,动态响应时间约为540ms,开机预热引起的温漂最大偏差为3.70%,不考虑温差影响下系统检测精度R2为0.7342,消除温差影响后检测精度R2为0.8645~0.9156,均高于商用手持式电导率检测仪,其R2为0.6095;探究了拖拉机振动、传感器插入深度、作业速度和土壤坚实度对系统检测精度的影响,振动状态相对静止状态,检测数据最大误差为10.37%,且误差主要集中在0~10μS/cm范围内;当作业速度不大于5.0km/h和传感器插入深度大于等于10cm时,该系统可稳定进行大田土壤电导率在线检测,且检测地块土壤坚实度不应过小,以确保传感器电极与土壤充分接触。该系统可为开展基于土壤电导率在线检测的实时变量施肥技术研究提供技术支撑。

    Abstract:

    In view of the existing field soil conductivity detection devices are mainly handheld, there are problems such as low detection efficiency and poor real-time performance. Based on the principle of current-voltage four-terminal method, a vehicle-mounted field soil conductivity on-line detection system was designed. The system mainly consisted of constant current signal source circuit, signal processing circuit, Arduino controller, GPS positioning module and vehicle-mounted sensor, which could detect field soil conductivity online. The performance of the system was verified by laboratory and field tests. The test results showed that the system had good stability, and the dynamic response time was about 540ms, and the maximum deviation of temperature drift caused by startup warm-up was 3.70%. The correlation coefficient R2 of the system detection accuracy was 0.7342 without considering the influence of temperature difference, and the detection accuracy R2 was 0.8645~0.9156 after eliminating the influence of temperature difference, which was higher than that of the commercial handheld conductivity detector with R2 of 0.6095. The influence of tractor vibration, sensor insertion depth, operation speed and soil solidity on the detection accuracy of the system was explored, the vibration state was relatively static, and the maximum error of detection data was 10.37%, and the error was mainly concentrated within the range of 0~10μS/cm. When the operating speed was no more than 5.0 km/h and the sensor insertion depth was greater than or equal to 10cm, the system could stably detect the field soil conductivity online, and the soil solidity of the test plot should not be too small to ensure that the sensor electrodewas in full contact with the soil. The system can provide technical support for the follow up research of real-time variable fertilization technology based on the online detection of soil conductivity.

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梁栋,胡丽娜,王秀,翟长远,张焱龙,窦汉杰.车载式大田土壤电导率在线检测系统设计与试验[J].农业机械学报,2022,53(6):274-285.

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  • 收稿日期:2022-01-21
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  • 在线发布日期: 2022-03-18
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