Evaluation Model Of Cultivated Land Fertility Using Artificial Neural Network And Its Application And Analysis Of Nutrient Status

Artificial neural network model based on fuzzy evaluation in this paper, selected the four categories and14indicators to evaluate, obtained the cultivated land fertility distribution of Zhangwu county and analysis the Nutrients in topsoil.(1) The evaluation model derived the farmland to three (medium level) fertilith-based.The area of third-class accounted for40.41%of all arable land area.The difference of area between second places and four is small, they are22.58%and28.52%, The area of first-class and fifth-class accounted for4.08%and4.41%of all arable land area.(2)The overall content of available nitrogen in the lack of level in Zhangwu county is49.24%.the available phosphorous content in the medium and above the level of arable land is89.64%of the total area,the content of potassium in the four lacking level arable land is55.05%of the total area.(3)The effective copper content in the high level of cultivated area is90.6%of the total area, the effective zinc content in the medium level of cultivated area is54.54%of the total area, the effective iron content in the medium level of cultivated area is86.83%of the total area, the effective manganese content in the high level of cultivated area is44.14%of the total area.(4)The results show that the use two evaluation study of comparative in Zhangwu farmland,the number of evaluation unit in the same level and a difference of one level is87.5%of the total unit.we can know that the grade differences of tow methods of evaluation is small,the result shows the artificial neural network model can also achieve high accuracy and objectivity.