Analysis, regression, and testing algorithm of fertilizer application in rural agriculture of Guangdong Province

Computer algorithms play a crucial role in the field of data analysis, as they can efficiently and accurately perform data calculations, which is of great significance for solving various problems. This article comprehensively uses three algorithms, Spearman correlation analysis, ridge regression model, and Kendall rank correlation test, to conduct in-depth analysis and prediction of fertilizer application in rural agriculture in Guangdong Province. To ensure the reliability of the experimental results, Kendall rank correlation test was ultimately used for validation. The results of this study are expected to provide valuable reference information for relevant decision-makers.