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VOL. 2, ISSUE 2 (2015)
A structured approach with RASP data perturbation for confidential and efficient queries in the cloud
Authors
Jayalakshmi S, Harish kunder
Abstract
Our world population is expected to reach 09 billion by 2050, which will result into increasing Agricultural production demand. About 3.4 billion people in world depend on plant-based traditional medicines. Something must be done in the face of decreasing yields, increased climate unpredictability, drought and severe weather events. The efforts till date resulted into various techniques for increasing the plant yields which include developments regarding the production of agriculture as well as medicinal plants. The extract of all such methods can be termed as vertical farming, plant growth based on artificial lights etc. The objective is to design easy to install, arduino-based circuitry to monitor, control and record the values of grow chamber parameters. Using this system estimation of phytoconstituents viz. carbohydrates and protein contents under illumination of red, blue and ultraviolet lights is studied. Centella asiatica (L.) Urban is an important medicinal plant is used as a test plant.
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Pages:662-666
How to cite this article:
Jayalakshmi S, Harish kunder "A structured approach with RASP data perturbation for confidential and efficient queries in the cloud". International Journal of Multidisciplinary Research and Development, Vol 2, Issue 2, 2015, Pages 662-666
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