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The use of discriminant analysis to validate a methodology for classifying farms based on a combinatorial algorithm

机译:使用判别分析来验证基于组合算法的农场分类方法

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Since 2002, the Galician Administration (NW Spain) has been working in the development of a decision Support system for Agricultural Production Planning. To this end. an initial decision tool, Gestop (R), was developed. However, the tool had a number of limitations for practical use because of the lack of differentiated data about the real situation of farms.With a view to improving the initial tool, a combinatorial method (CM) was developed. Such a combinatorial method used official census data to classify farms based on the different production processes, sizes and geographical locations of farms, among other factors. The combinatorial method proved very useful as a source of differentiated data for the decision support system. Yet, validating the results Using robust statistical methods was considered essential in order to guarantee the suitability of the model for use.This paper uses discriminant analysis (DA) techniques to validate the types of dairy farms obtained from the combinatorial method for Galicia.Results clearly validate the combinatorial method and its use as a data Source for decision support systems in Agricultural Production Planning.
机译:自2002年以来,加利西亚政府(西班牙西北部)一直在致力于农业生产计划决策支持系统的开发。为此。开发了初始决策工具Gestop(R)。然而,由于缺乏有关农场实际情况的差异化数据,该工具在实际使用中有许多限制。为了改进初始工具,开发了一种组合方法(CM)。这种组合方法使用官方人口普查数据根据农场的不同生产过程,规模和地理位置以及其他因素对农场进行分类。事实证明,组合方法作为决策支持系统的差异化数据来源非常有用。然而,为了确保模型的适用性,使用鲁棒的统计方法验证结果被认为是必不可少的。本文使用判别分析(DA)技术来验证从加利西亚的组合方法获得的奶牛场类型。验证组合方法及其作为农业生产计划决策支持系统的数据源的用途。

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