精准农业中管理区划分方法研究

Study on the Management Division Methods in Precision Agriculture

综述了近年来国内外在精准农业中农田管理区划分上应用的主要方法,包括K均值聚类算法、模糊C均值聚类算法、加权模糊聚类算法、粒子群优化算法以及改进的蚁群聚类算法。概述了各种方法的原理,比较了各种处理方法的优缺点,并对分区方法做了简要概括,最后指出了目前研究中存在的问题及今后的研究方向。

This paper summarizes the major division methods of precision agricultural management zones recently in China and abroad. Inclu- ding K-means Clustering Algorithm, Fuzzy C-means Clustering Algorithm, Weighted Fuzzy Clustering Algorithm, Particle Swarm Optimization and ant colony clustering algorithms. At the same time, principles of these methods were introduced and their advantages and disadvantages were compared. Briefly generalizing the division methods and finally put forward the existing problems in recent research as well as further re- searches in this field.