中文摘要：

利用《农业大词典》中词条的特征研究农业概念簇的生成。阐述了从释义部分抽取特征，包括了人工特征抽取特征词和词语概念，以及KL变换降维；叙述了KNN分类的基本思想和基于KNN的农业概念簇形成的过程；还通过实验验证了本文的特征抽取和基于KNN方法是有效的。

英文摘要：

In the paper, how to generate the agriculture concept cluster is studied, using the characteris- tics of the entry in ＂Agricultural Dictionary＂. Firstly, the features are extracted from the interpretation of the entry, including extracting the word＇ s feature by artificial selection, integrating the concept of words, and reducing dimensionality through KL transform; then the basics of the KNN classifier and the process of KNN-based agriculture concept cluster are described; finally, the experiment shows the proposed method is effective.