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A cloud computing architecture with wireless sensor networks for agricultural applications

The emergence of precision agriculture has been promoted by the many developments in the field of wireless sensor actor networks (WSAN). These WSANs provide valuable information for harvesting, work management, growth of crops, and prevention of crop diseases. This paper focuses on introducing cloud computing as a new approach to be used in addition to WSANs to further enhance their application and benefits to the field of agriculture. | International Journal of Computer Networks and Communications Security C VOL.2, NO.1, JANUARY 2014, 34–38 Available online at: www.ijcncs.org ISSN 2308-9830 N C S A Cloud Computing Architecture with Wireless Sensor Networks for Agricultural Applications Mr. Mahesh D. S1, Ms. Savitha S2, Dr. Dinesh K. Anvekar3 1, 2 3 Asst Professor, Dept. of CSE, CMRIT, Bangalore-37, India Professor, Director- Entrepreneurship Development Cell, Dept of CSE, CMRIT, Bangalore-37, India E-mail: 1mahesh.ds@cmrit.ac.in, 2savitha.s@cmrit.ac.in, 3dinesh.anvekar@cmrit.ac.in ABSTRACT The emergence of precision agriculture has been promoted by the many developments in the field of wireless sensor actor networks (WSAN). These WSANs provide valuable information for harvesting, work management, growth of crops, and prevention of crop diseases. This paper focuses on introducing cloud computing as a new approach to be used in addition to WSANs to further enhance their application and benefits to the field of agriculture. Keywords: Component, Wireless Sensor Actor Networks, Cloud computing, Percision Agriculture. 1 INTRODUCTION Lower productivity in agriculture is often cited as one of the major problems faced by most of the developing countries. Many issues associated with agriculture can broadly be divided as issues related to environment monitoring and control of green house. These issues play a major role in the enhancement of the productivity and prevention of diseases in the crops. Most of the agricultural practices in developing countries are sub-optimum and continue to be traditionally carried out with unskilled laborers who are commitment to the traditional knowledge and reluctant to innovate. In-depth research in this area is still lacking. This situation makes it necessary to think of building a decision support system for agriculture with information support by experts. In this paper, an effective approach to overcome some of the issues related to agricultural productivity .