Title :
Time series analysis of clustering high dimensional data in precision agriculture
Author :
Singh, Sweta ; Champawat, Kiran Singh ; Ambegaokar, Sanya ; Gupta, Animesh ; Sharma, Shirish
Author_Institution :
IT Dept., MPSTME (NMIMS), Mumbai, India
Abstract :
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.
Keywords :
agriculture; cost reduction; data analysis; pattern clustering; time series; cost reduction; high dimensional data clustering; precision agriculture; technology demand; time series analysis; Agriculture; Clustering algorithms; Conferences; Correlation; Correlation coefficient; Speech recognition; Technological innovation; Moran´s I; agglomeration; fuzzy c-means; k-means; mean shift; pearson´s coefficient; precision agriculture;
Conference_Titel :
Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6817-6
DOI :
10.1109/ICIIECS.2015.7193192
