Exploring the Impact of Pesticide Usage on Crop Condition: A Causal Analysis of Agricultural Factors

J. j
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Abstract

Human lifestyle is affected by the agricultural development in the last 12,000 years ago. The development of agriculture is one of the reasons that global population surged. To ensure sufficient food production for supporting human life, pesticides as a more effective and economical tools, are extensively used to enhance the yield quality and boost crop production. This study investigated the factors that affect crop production and whether the factors of pesticide usage are the most important factors in crop production using the dataset from Kaggle that provides information based on crops harvested by various farmers. Logistic regression is used to investigate the relationship between various factors and crop production. However, the logistic regression is unable to deal with predictors that are related to each other and identifying the greatest impact factor. Therefore, causal discovery is applied to address the above limitations. The result of causal discovery showed that crop condition is greatly impacted by the estimated insects count, where estimated insects count is affected by the factors of pesticide usage. This study enhances our understanding of the influence of pesticide usage on crop production and contributes to the progress of agricultural practices.
探索农药使用对作物状况的影响:农业因素的因果分析
人类的生活方式受到 12000 年前农业发展的影响。农业的发展是全球人口激增的原因之一。为确保充足的粮食生产以维持人类生活,农药作为一种更有效、更经济的工具,被广泛用于提高产量质量和促进作物生产。本研究利用 Kaggle 提供的数据集调查了影响农作物产量的因素,以及农药使用因素是否是农作物产量的最重要因素。逻辑回归用于研究各种因素与作物产量之间的关系。然而,逻辑回归无法处理相互关联的预测因素,也无法识别影响最大的因素。因此,应用因果发现法来解决上述局限性。因果发现的结果表明,作物状况受估计虫数的影响很大,而估计虫数又受农药使用量因素的影响。这项研究加深了我们对农药使用对作物生产影响的理解,有助于农业实践的进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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