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Delineation of management zones using mobile measurements of soil apparent electrical conductivity and multivariate geostatistical techniques

机译:使用土壤表观电导率的移动测量和多元地统计技术来划定管理区域

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摘要

Site-specific management promotes the identification and management of areas within the field, which represent subfield regions with homogeneous characteristics (management zones). However, determination of subfield areas is difficult because of the complex combination of factors which could affect crop yield. One possibility to capture yield variability is the use of soil physical properties to define the management zones as they are related to plant available water. With the aim of characterizing the spatial variability of the main soil physical variables and using this information to determine potential management zones, soil samples were taken from 70 locations in a 33-ha field in Badajoz, southwestern Spain. Firstly, accurate spatial distribution maps of the soil attributes were generated by using regression kriging as the most suitable algorithm in which exhaustive secondary information on soil apparent electrical conductivity (ECa) was incorporated. ECa measurements were carried out with a Veris 3100 operating in both shallow (0-30cm), ECs, and deep (0-90cm), ECd, mode. Clay, coarse sand and fine sand were the soil physical properties which exhibited higher correlation with ECa (positively correlated with the finer texture component, clay, and negatively correlated with the coarser ones, coarse and fine sands), particularly with ECs. Thus, this was the secondary variable used to obtain the kriged maps. Later, principal component analysis and fuzzy cluster classification were performed to delineate management zones, resulting in two subfields to be managed separately. This number of subfields was determined using the fuzzy performance index and normalized classification entropy as the way to optimize the classification algorithm.
机译:特定地点的管理促进了对田间区域的识别和管理,这些区域代表具有均一特征的子田间区域(管理区域)。但是,由于可能影响作物单产的因素综合复杂,因此很难确定子领域。捕获产量变异性的一种可能性是利用土壤物理性质来定义管理区域,因为它们与植物可用水有关。为了表征主要土壤物理变量的空间变异性,并使用此信息确定潜在的管理区,从西班牙西南部巴达霍斯一个33公顷的田地中的70个位置采集了土壤样品。首先,通过使用回归克里格法作为最合适的算法生成土壤属性的准确空间分布图,在该算法中结合了关于土壤表观电导率(ECa)的详尽的辅助信息。使用Veris 3100在浅(0-30cm)ECs和深(0-90cm)ECd模式下进行ECa测量。粘土,粗砂和细砂是与ECa表现出较高相关性的土壤物理特性(与较细的质地成分,粘土呈正相关,而与较粗的粗粒和细砂呈负相关),尤其是与ECs相关。因此,这是用于获取克里金图的次要变量。后来,进行了主成分分析和模糊聚类分类以划定管理区域,从而导致两个子字段要分别管理。使用模糊性能指标和归一化分类熵作为优化分类算法的方式来确定子字段的数量。

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