The Factors Weight Measurement and Analysis of Agricultural Mechanization Level Affect with BP Neural Network

To measure some factors weight in agricultural mechanization, it uses BP neural network to simulate and analyze ten factors to determine the agricultural mechanization level. The results show that the method can describe the agricultural mechanization level precisely. Agricultural mechanization level is mainly affected by the employers proportion to the first industry with all the society, accounting up to 19.85% in weight a-mong the ten factors. The other factors are education level, mechanization level about ploughing, sowing and reaping, net income and planting area.