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Estimation of yield zones using aerial images and yield data from a few tracks of a combine harvester

机译:使用航拍图像和联合收割机几条履带的产量数据估算产量区

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Yield maps derived from yield mapping systems are often erroneous not only due to limitations in measuring the yield precisely but due to insufficient consideration of the requirements of yield mapping systems in practice as well. Aerial images of cultivated crop fields at an advanced growth stage frequently provide a spatial pattern similar to that of yield maps. Therefore, the possibility of generating a yield map using aerial images and measured yield data of a few tracks was examined for a period of 2 years in two fields grown with cereals. Yield zones based on Visible Atmospherically Resistant Index (VARI) values were compared with yield zones based on measured yield data of the whole field. About half of the grid cells of a field were allocated to the same yield zones irrespective of the mode of yield determination. Using the Kruskal-Wallis test, the data sub-sets of measured yield within the yield zones based on the VARI values differed significantly for all tested yield zones. As a result, the approach was successful in the case of these experimental sites.
机译:从产量测绘系统获得的产量图常常是错误的,这不仅是由于精确测量产量的局限性,而且还由于实际上没有充分考虑到产量测绘系统的要求。处于晚期生长阶段的耕地的航空影像通常提供类似于产量图的空间模式。因此,在谷物种植的两个田地中,在2年的时间里检查了使用航拍图像和几条测得的产量数据生成产量图的可能性。将基于可见大气耐候指数(VARI)值的屈服区与基于整个田间测得的屈服数据的屈服区进行比较。不管产量确定方式如何,大约一半的田地网格单元都分配给相同的产量区。使用Kruskal-Wallis检验,对于所有测试的屈服区,基于VARI值的屈服区内测得的屈服数据子集都显着不同。结果,在这些实验地点的情况下,该方法是成功的。

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