沈阳农业大学学报2012，Vol.43Issue(1)：126-128,3.
基于改进的SVM算法的耕地地力评价模型研究
Model of Productivity of Cultivated Land Based on Improved-SVM
摘要
Abstract
In order to improve the level of management of agriculture and combined with artificial intelligence, a standard evaluation on soil fertility grade for cultivated land was made based on improved-SVM. This model used data mining algorithm of FCIs to obtain the list of feature vectors, then the evaluation model of soil fertility grade for cultivated land was established by SVM algorithm. The experiment result was basically consistent with the actual status, status, showed that the model is better practiocable and higher accuracy for evaluation of the nonlinear characters.关键词
耕地地力/支持向量机/评价模型Key words
productivity of cultivated land/support vector machine/evaluation model分类
农业科技引用本文复制引用
李露璐..基于改进的SVM算法的耕地地力评价模型研究[J].沈阳农业大学学报,2012,43(1):126-128,3.基金项目
广西省自然科学基金项目(桂科青0832101) （桂科青0832101）
