Soil Fertility Evaluation Based on BP Artificial Neural Network
Yang Guo · 2005
Soil fertility includes three aspects, soil fertilizer quality, soil environment quality and soil healthy quality. It is a reflection of soil characteristics, but it is difficult to predict with common methods because it is determined by several parameters. Artificial neural networks are one of advanced courses having many merits, thus it was applied to soil quality and quantity prediction. Artificial neural network and BP neural networks were interpreted, and 7-5-1 of BP neural networks model was established to study soil fertility degree of DATONG, Shanxi Province. The results showed that artificial neural networks could be applied well to soil fertility evaluation and prediction.