Title: Towards Autonomous In-situ Soil Sampling and Mapping in Large-Scale Agricultural Environments Show Chinese title

Title: 面向大规模农业环境的自主原位土壤采样与制图

Abstract: Traditional soil sampling and analysis methods are labor-intensive, time-consuming, and limited in spatial resolution, making them unsuitable for large-scale precision agriculture. To address these limitations, we present a robotic solution for real-time sampling, analysis and mapping of key soil properties. Our system consists of two main sub-systems: a Sample Acquisition System (SAS) for precise, automated in-field soil sampling; and a Sample Analysis Lab (Lab) for real-time soil property analysis. The system's performance was validated through extensive field trials at a large-scale Australian farm. Experimental results show that the SAS can consistently acquire soil samples with a mass of 50g at a depth of 200mm, while the Lab can process each sample within 10 minutes to accurately measure pH and macronutrients. These results demonstrate the potential of the system to provide farmers with timely, data-driven insights for more efficient and sustainable soil management and fertilizer application. Show Chinese abstract

Abstract: 传统土壤采样和分析方法耗时耗力，空间分辨率有限，因此不适合大规模精准农业。 为解决这些限制，我们提出了一种用于实时采样、分析和绘制关键土壤特性的机器人解决方案。 我们的系统由两个主要子系统组成：一个样品采集系统（SAS），用于精确的自动化田间土壤采样；以及一个样品分析实验室（Lab），用于实时土壤特性分析。 该系统的性能通过在澳大利亚大型农场进行的大量实地试验得到了验证。 实验结果表明，SAS可以稳定地获取质量为50克、深度为200毫米的土壤样品，而Lab可以在10分钟内处理每个样品，准确测量pH值和大量营养素。 这些结果展示了该系统为农民提供及时的数据驱动见解的潜力，以实现更高效和可持续的土壤管理和肥料施用。