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Two approach comparison to define crop management zones (MZs)

机译:两种方法比较,以定义作物管理区(MZ)

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摘要

The use of yield-level management zones (MZs) has demonstrated high potential for site-specific management of crop inputs in traditional row crops. Two approaches were use: all variables approach (all_Var) and stable variables approach (sta_Var). In each approach, variables selected had significant correlation with yield, while all redundant and non-autocorrelated variables were discarded. Two fields were use in this study: Field 1 (17.0 ha soybean field located in Cascavel, Paraná, Brazil); and Field 2 (35.0 ha corn field located in Wiggins, Colorado, US.). Two, three, four, and five MZs were created using fuzzy c-means clustering technique. The proposed methodology for define MZs is simple and allowed create good-quality MZs. It also founded that not-stable-over-time variables are not useful to define MZs.
机译:产量水平管理区(MZs)的使用已显示出在传统大田作物中对作物投入进行特定地点管理的巨大潜力。使用了两种方法:所有变量方法(all_Var)和稳定变量方法(sta_Var)。在每种方法中,选择的变量与产量具有显着的相关性,而所有冗余和非自相关的变量均被丢弃。本研究使用了两个田地:田地1(位于巴西巴拉那州Cascavel的17.0公顷大豆田); 2号田(位于美国科罗拉多州威金斯的35.0公顷玉米田)。使用模糊c均值聚类技术创建了两个,三个,四个和五个MZ。所提出的定义MZ的方法很简单,可以创建高质量的MZ。它还发现,不稳定的时间变量对定义MZ无效。

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