Time series analysis of clustering high dimensional data in precision agriculture
Time series analysis of clustering high dimensional data in precision agriculture
复制标题
精准农业中高维数据聚类的时间序列分析
DOI：
10.1109/iciiecs.2015.7193192
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Shirish , Sharma
中科院分区：
文献类型：
--
作者：
Sweta Singh;Kiran Singh Champawat;Sanya Ambegaokar;Animesh Gupta;Shirish , Sharma
随着技术需求的增加和成本的降低，精准农业正在广泛实施。它是将最新技术应用于农业领域，目的是使生产能力最大化。它是一种观测、分析和应用挖掘数据对作物的地际和内部波动的实践。本文的研究目的是对精准农业中高维数据的聚类进行分析和检验。针对其在精准农业中的应用，已经实现了各种聚类技术。并列举了它们各自的优缺点。
Precision agriculture is widely being implemented with increase in technology demand and reduction in its cost. It is the application of latest technology to the agricultural field with the objective of maximizing production capacity. It is a practice of observing, analyzing and applying mined data to the inter and intra ground fluctuation of crops. The purpose of this research paper is to analyze and inspect the clustering of high dimensional data in precision agriculture. Various clustering techniques have been implemented with respect to its use in precision agriculture. And their respective advantages and disadvantages are listed as well.