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本文将化学计量学方法引入土壤肥料研究。以一组紫色花生土理化性状数据作为样本,用因子分析法研究了土壤理化性状关系,用人工神经元网络的BP算法研究土壤理化性状与供肥能力的关系,所得结果表明化学计量学完全可以成为土壤肥料研究的强有力工具。
In this paper, chemometrics is introduced into soil and fertilizer research. Taking a group of purple peanut soil physical and chemical properties data as samples, the relationship between soil physical and chemical properties was studied by factor analysis method. The relationship between soil physical and chemical properties and fertility was studied by BP algorithm of artificial neural network. The results showed that chemometrics Become a powerful tool for soil and fertilizer research.