Application of Cloud Computing to Agricultural Field through Smart Phone

International Journal of Computer Science (IJCS Journal) Published by SK Research Group of Companies (SKRGC) Scholarly Peer Reviewed Research Journals

Format: Volume 2, Issue 1, No 1, 2014.

Copyright: All Rights Reserved ©2014

Year of Publication: 2014

Author: D.Dhivya,Dr. N.Nagadeepa

Reference:IJCS-035

View PDF Format

Abstract

Most of the information technology (IT) systems currently used for duties such as filing tax records and traceability records to meet the requirements of non-farmers in the government and distribution industry. Now a day the formers also started to use the Information technology for their agricultural works via the smart phones. So, this paper focused on introducing the latest technologies such as sensors, wireless networks, and Cloud computing to radically revise approaches to agriculture and conduct business feasibility studies to establish a hypothetical model of Cloud services. It will make a genuine contribution to agriculture. This hypothetical model has much in common with on-site operations such as medical/nursing care and maintenance besides agriculture, so the work is to develop it across a broader range of fields. On the basis of the knowledge acquired through actual agricultural operations and subsequent analysis, this paper will describe the affinity between agriculture and Cloud computing and discuss how the technologies used in the demonstration test can be applied to other fields

References

REFERENCES 1) Ministry of Agriculture, Forestry and Fisheries: Statistical data.. http://www.maff.go.jp/j/tokei/index.html 2) K. Yamashita: The pitfalls of agricultural cooperatives., First edition, Takarajimasha, Japan, January 2009. 3) Rural Culture Association Japan: Agricultural technology compendium—vegetables, crops.. http://lib.ruralnet.or.jp/taikei/select01/index.html 4) Tricks of the trade in spreading compost and Fertilizer., Modern Farming, Rural Culture Association Japan, March 2009. 5) National Agriculture and Food Research Organization, Central Agricultural Laboratory, Agricultural Data Research Unit, Model Development Team: An automatic system for periodically running various models and delivering their results., Kanto, Tokai and Hokuriku research findings, 2003. 6) M. Nitanda et al.: Experimental evaluation of a database of near-miss incidents., 69th National Convention of IPSJ, March 2007. 7) Y.Utashiro: Information/knowledge management information /management—IT and knowledge management (the complete management fundamentals)., First edition, Gakubunsha, March 2007.


Keywords

Cloud,Services

This work is licensed under a Creative Commons Attribution 3.0 Unported License.   

TOP
Facebook IconYouTube IconTwitter IconVisit Our Blog