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A method of cloud storage algorthom for crop images information

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.