Project supported by the National Natural Science Foundation ofChina (No. 40101014); and by the Science and technology Committee of Zhejiang Province (No. 001110445); China
This article presents two approaches for automated building of knowledge bases of soil resources mapping. These methods used decision tree and Bayesian predictive modeling, respectively to generate knowledge from tra...