马瑞峻, Michael Short, Craig Lobsey, Alex McBratney, Brett Whelan, Budiman Minasny, 孙光永. 多土壤信息测量传感器的硬件系统集成设计(英)[J]. 农业工程学报, 2010, 26(4): 156-161.
    引用本文: 马瑞峻, Michael Short, Craig Lobsey, Alex McBratney, Brett Whelan, Budiman Minasny, 孙光永. 多土壤信息测量传感器的硬件系统集成设计(英)[J]. 农业工程学报, 2010, 26(4): 156-161.
    Integrated multi-sensor hardware system for soil information measurement[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(4): 156-161.
    Citation: Integrated multi-sensor hardware system for soil information measurement[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(4): 156-161.

    多土壤信息测量传感器的硬件系统集成设计(英)

    Integrated multi-sensor hardware system for soil information measurement

    • 摘要: 土壤在作物的生长过程中起到了重要的作用,所以对于基于决策的作物生产管理,土壤信息是必需的。传统的土壤取样获取土壤信息技术耗时且成本高,尤其是对于大规模农田土壤信息测量。目前一些近地面的可连续测量的土壤信息传感器技术能够提供高精度的数字土壤信息地图,然而这些商业化的技术成熟的传感器通常需要单独使用。该文提出了将γ射线光谱仪GR320、利用电磁感应原理的EM38和EM31以及Veris 3100和Veris pH这些可在农田近地面连续测量的土壤特性测试传感仪器集成在一起同时使用的方案,介绍了此集成系统的硬件设备和相关特性参数以及今后需要继续研究解决的问题。利用该系统可一次获得不同的土壤特性参数数据,如土壤矿物质含量,不同深度的土壤电导率值和土壤pH值等,可避免多次测量车辆行走对土壤的压实。多传感器数据之间的互相补充可以进一步提高且更有利于精确农业中基于土壤信息的决策规划。该系统适用于大面积农田土壤特性测量。

       

      Abstract: Soil plays an important role in crop growth and soil information is necessary for making crop management decisions. Traditional soil sampling techniques are time-consuming and costly, especially for large survey areas and laboratory analysis. Currently a variety of on-the-go soil sensor techniques are available that can provide high-resolution digital soil maps but these commercial sensors are generally used individually. This paper presented an integrated hardware system by multi soil sensors, including Gamma Ray Spectrometer, Geonics EM38, Geonics EM31, Veris 3100 and Veris pH, which could measure different soil parameters simultaneously and avoided the vehicle numerous trips into the field and minimize soil compaction. The complementary data for the soil sensors could further enhance data-based decision-making and potentially offer new possibilities for precision agriculture. Issues with the system that need further research in the future were also discussed in the paper. The system is appropriate for the measurements of soil parameters at a fine spatial scale for large areas.

       

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