LCC Decision tree analysis using ID3

Abstract

The basic principle of soil and water conservation is to use the land according to its capability. Therefore the knowledge of land capability classification is a prerequisite and important for planning of watershed development programme. The capability of land depends upon the characteristics of the land like slope, soil depth and soil type. Considering this input parameters Land Capability Classification (LCC) decision tree is formulated using ID3 algorithm. Results shown by generated decision tree are compared with the results obtained theoretically by considering ranges given in the standard table and were found similar. After successful testing of decision tree it is concluded that the model is useful for suggesting the soil and water conservation practices for watershed development plan.

Evaluation of Best First Decision Tree on Categorical Soil Survey Data for Land Capability Classification

“…A detailed review of DT applications in agricultural and biological engineering may be found in [5] and [7]. In the field of applying DT algorithms for soil survey data, [15] evaluated ID3 DT for LCC with 12 simulated samples with soil depth, slope, and texture as attributes for LCC; however, model was not validated. ID3 DT algorithm was applied on soil survey data with an accuracy of 86.84% on 10-fold cross validation [16].…”