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Spatial and temporal variability in rice yield collected from multiple small-sized paddy fields in multiple years

机译:多年多年小型稻田收集水稻产量的空间和时间变异性

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Using descriptive statistical method, yield information of different field areas were analyzed to examine their field variability according to examining year, analysis method as well as field size and variety. Semivariogram and Kriged maps of geo-statistical analysis were also adopted to examine their within field spatial dependence. The results obtained were as follows. Descriptively statistical results of the yield showed that the yield and the difference of yield ranged from 100 to 946kg/10a and from 372 to 653kg/10a, respectively within a field. The coefficient of variation also ranged from 11.9 to 22.4%. Over 90% of yield information was placed between 350 to 850kg/10a of its frequency distribution. The results indicated that the appropriative design of the grain flow sensor considering the range of yield measurement was at least 0.34 to 0.82kg/s when the working velocity of 4 rows head-feed combine was assumed 0.8m/s. The results of yield showed a high spatial dependence within paddy field. The Q values ranged from 0.20 to 0.94, and the range of spatial dependence was from 6.9 to 52m. From this result, the rational sampling interval for yield investigation was estimated 6.9m. The results also showed that the spatial variability of yield was clearly distributed evenly in the paddy field. To apply precision agriculture in a paddy field, the field test should be continued to build a solid data-base including meteorological data, blight damage and insect damage.
机译:使用描述性统计方法,分析了不同场区域的产量信息,以根据检查年度,分析方法以及现场大小和多样性来检查它们的场可变性。还采用了半乐曲造影和地理统计分析的克里格化地图,以检查他们在现场空间依赖范围内。获得的结果如下。所描述的统计结果表明,产量和产率的差异在100至946kg / 10a和372至653kg / 10a之间,分别在一个领域。变异系数也为11.9〜22.4%。超过90%的产量信息置于其频率分布的350至850kg / 10a之间。结果表明,当假定4行头供给结合的工作速度为0.8m / s时,考虑屈服测量范围的晶粒流量传感器的适当设计至少为0.34至0.82kg / s。收益率的结果显示出稻田内的高空间依赖性。 Q值范围为0.20至0.94,空间依赖范围为6.9至52米。从该结果,估计产量调查的合理取样间隔为6.9M。结果还表明,产量的空间变异性清楚地分布在稻田中。为了在稻田中涂上精密农业,应继续开展现场测试以构建一个固体数据库,包括气象数据,枯萎损伤和昆虫损伤。

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