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Identifying potential within-field management zones from cotton-yield estimates

机译:从棉花产量估算中确定潜在的田间管理区

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摘要

Remotely-sensed cotton yield estimates, collected mid-season over the past 11 years, were investigated to identify the degree of temporal stability exhibited in two irrigated fields on "Colly Central" farm. Collarenabri, NSW, Australia. In particular, the aims of the investimation were: (1) to develop stable yield zones from multi-year yield estimates derived from 11 consccume years' mid-season Landsal TM imagery: (2) to discover the number of consecutive years of yield estimates required to give similar "stable" estimates of yield zones to those derived from all 11 years of available data. Results of the investigation indicate that the fields described in the study exhibit a strong degree of temporal stability. Additionally, where an assumption is made that 11 years worth of yield estimates will cluster to generate the most temporally stable "regions of similarity," the mapping of clusters generated using 5 or more years will generate comparable "regions of similarity" with high confidence thatthe regions will indeed closely match those of the temporally stable 11 year estimates.
机译:在过去的11年中,对遥感的棉花产量估计值进行了调查,这些估计值是在过去11年的中期收集的,用于确定“ Colly Central”农场两个灌溉田的临时稳定性。澳大利亚新南威尔士州Collarenabri。尤其是,该评估的目的是:(1)从11个主要年份的中期Landsal TM影像得出的多年期收益估算中开发稳定的收益区:(2)发现连续的收益估算年数要求给出与所有11年可用数据得出的结果相似的“稳定”的产量范围估计值。调查结果表明,该研究中描述的领域表现出强烈的时间稳定性。此外,如果假设11年的收益估算值会聚在一起以生成时间上最稳定的“相似区域”,则使用5年或更长时间生成的聚类映射将生成可比较的“相似区域”,并且具有很高的置信度各地区确实将与时间上稳定的11年估算值相匹配。

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