AgriOne机器人可精准测量大田土壤湿度，减少人工和固定传感器依赖。
Design and Evaluation of a UGV-Based Robotic Platform for Precision Soil Moisture Remote Sensing
- 用机械臂搭载土壤含水量传感器，配合地形感知数据采集框架。
- 实测证明其能实时获取可靠数据，有效剔除无效测量点。
- 适合农业监测、智慧农场等需要高精度土壤数据的场景。
本文介绍了AgriOne无人地面车（UGV）平台的设计与评估，该平台用于在大面积农田中实现高精度的土壤水分遥感探测。该机器人配备安装在机械臂上的体积含水量（VWC）传感器，并采用表面感知的数据采集框架，以确保在异质地形中获得准确测量结果。该框架能识别并剔除传感器未穿透土壤的无效数据点，保障数据可靠性。通过多次田间实验验证了平台性能，结果表明AgriOne可在真实环境中实现高效实时数据采集，显著降低对永久性传感器及人力密集型方法的依赖。
原文摘要 · Abstract (English)
This extended abstract presents the design and evaluation of AgriOne, an automated unmanned ground vehicle (UGV) platform for high precision sensing of soil moisture in large agricultural fields. The developed robotic system is equipped with a volumetric water content (VWC) sensor mounted on a robotic manipulator and utilizes a surface-aware data collection framework to ensure accurate measurements in heterogeneous terrains. The framework identifies and removes invalid data points where the sensor fails to penetrate the soil, ensuring data reliability. Multiple field experiments were conducted to validate the platform's performance, while the obtained results demonstrate the efficacy of the AgriOne robot in real-time data acquisition, reducing the need for permanent sensors and labor-intensive methods.
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