Smart Multi-Level Soil Moisture Sensing System

2021 Second International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP) Pub Date : 2021-01-20 DOI:10.1109/ICA-SYMP50206.2021.9358450

Warisara Sriphanthaboot, T. Saengow, Kasama Kamonkusonman, Minthorn Phunthawornwong, Pongpith Simmanee, R. Silapunt

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Abstract

This paper presents a prototype design and construction of the smart multi-level soil moisture sensing system. The system consists of 3 3-level soil moisture probes whose length of each is adjustable. The soil moisture probe is equipped with the microcontroller unit, the solar panel, and the long range (LoRa) communication module. The capacitive sensing technique is chosen due to its satisfying accuracy, low cost, and low complexity. Each probe measures the response frequency due to capacitance variation associated with the soil moisture. The response frequency is then transmitted wirelessly over the long range wide area network (LoRaWAN) to the network server. The mathematical model of the actual moisture content (MC) vs measured response frequency was developed. The model was optimized to achieve the optimal correlation R-square of 0.8996. The measured moisture contents are validated by the actual ones. It is found that the average error is only ±2.87%MC. The web application is finally developed to display soil moisture contents.

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智能多层次土壤水分传感系统

本文介绍了智能多级土壤水分遥感系统的原型设计与构建。该系统由3个3级土壤湿度探头组成，每个探头的长度可调。土壤湿度探头配有微控制器单元、太阳能电池板和远程(LoRa)通信模块。电容式传感技术具有精度高、成本低、复杂度低等特点。每个探头测量与土壤湿度相关的电容变化的响应频率。然后将响应频率通过远程广域网(LoRaWAN)无线传输到网络服务器。建立了实际含水率与实测响应频率的数学模型。对模型进行优化，得到最优相关r方为0.8996。测得的含水率与实际含水率相吻合。结果表明，平均误差仅为±2.87%。最后开发了显示土壤含水量的web应用程序。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2021 Second International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP)

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