A method of cloud storage algorthom for crop images information

Author

Chunjiang Zhao ; Ronghua Gao ; Huarui Wu

Author_Institution

Nat. Eng. Res. Center for Inf. Technol. in Agric., Beijing, China

Volume

03

fYear

2012

fDate

Oct. 30 2012-Nov. 1 2012

Firstpage

1129

Lastpage

1132

Abstract

With the development of high resolution images technique, large scale data intensive computing and computing-intensity is highly demanded. However, isolated storage and dispersive management cannot meet exponentially increasing demand for storage and management of crop images. On the basis of the crop images grasped by our independent developed agricultural intelligent search engine, a kind of extraction technique will be studied to extract the special feature behind scattered image data and to build up a cloud platform for the crop images information. Fast and accurate searching for crop images and its highly efficient management under cloud computation environment are achieved through map-reduce parallel mechanism.

Keywords

agriculture; cloud computing; crops; image resolution; search engines; agricultural intelligent search engine; cloud computation environment; cloud platform; cloud storage algorithm; computing-intensity; crop image information; dispersive management; extraction technique; high resolution images technique; isolated storage; large scale data intensive computing; map-reduce parallel mechanism; scattered image data; Agriculture; Cloud computing; Computational modeling; Distributed databases; Image storage; Memory; Servers; Cloud storage; Distributed computing; Massive image; Pyramid;

fLanguage

English

Publisher

ieee

Conference_Titel

Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4673-1855-6

Type

conf

DOI

10.1109/CCIS.2012.6664558

Filename

6664558