谷物联合收割机测产数据中的误差分析与处理

    Error analysis and process of yield data collected by yield monitoring system of corn combine harvester

    • 摘要: 产量分布图作为实施精细农业的起点与农业生产管理决策的基础,其精度至关重要,而产量数据误差分析与处理则是提高产量分布图精度的关键。通过连续两年使用带有测产系统的联合收割机进行收获试验,并对得到的产量数据进行分析,发现产量数据中主要存在三类误差,即割幅宽度设置误差、填充时间误差和延迟时间误差。讨论了这三类误差的产生原因、识别和处理方法,并对小麦和玉米在不同收获条件下的误差进行了比较。分析结果表明,割幅宽度设置误差数据所占的比例一般小于6%,填充时间误差数据大于10%,延迟时间误差数据小于1%。

       

      Abstract: A yield map represents the basic information for precision agriculture and a site-specific crop management. Its accuracy is extremely important. Yield data processing and error analysis are key approaches to improving the reliability of the yield map and minimizing the influence of error on the yield data. Based on the first two years' practice on a grain combine with a yield monitoring system, this paper contributes to the yield data error analysis and improvement of the yield map. Three kinds of main errors of yield data were described: cutter width setting error, filling time error, and delayed time error. The paper discussed the error occurence, recognition and processing. Errors were compared under different harvesting conditions of corn and winter wheat. The percentage of cutter width setting error data in the yield data set is less than 6%, the percentage of filling time error data in the yield data set is more than 10%, the percentage of delayed time error data in the yield data set is less than 1%.

       

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