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A system for on-line measurement of key soil properties

机译:在线测量关键土壤特性的系统

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This paper reports on on-line measurement of total nitrogen (TN), organic carbon (OC), moisture content (MC) and bulk density (BD) which was carried out in three European farms. The measurement system consists of a multiple sensor platform, which includes a mobile, fibre-type, visible and near infrared (vis-NIR) spectrophotometer, a draught (D) and a depth (d) sensor. The prediction models developed were tested in three fields in Denmark, Czech Republic and UK. Results revealed that the measurement accuracy was very good for TN (RPD = 2.33 - 2.38), very good/excellent for OC (RPD = 2.31 - 2.52) and excellent for MC (RPD = 3.16 - 3.25). A reasonably good correlationrnbetween the measured and on-line predicted BD (R~2 = 0.56 - 0.73) was obtained. The online measured maps were similar to those developed with traditional laboratory method of soil analysis.
机译:本文报告了在三个欧洲农场进行的总氮(TN),有机碳(OC),水分含量(MC)和容重(BD)的在线测量。该测量系统由一个多传感器平台组成,该平台包括一个移动式,光纤型,可见光和近红外(vis-NIR)分光光度计,一个吃水深度(d)和一个深度(d)传感器。开发的预测模型在丹麦,捷克共和国和英国的三个领域进行了测试。结果表明,TN的测量精度非常好(RPD = 2.33-2.38),OC的测量精度非常好/出色(RPD = 2.31-2.52),MC的测量精度非常好(RPD = 3.16-3.25)。得到的实测BD与在线预测BD之间具有较好的相关性(R〜2 = 0.56- 0.73)。在线测量的地图类似于用传统的土壤分析实验室方法开发的地图。

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