A Proposed Framework for MAD-Cloud and MAD-Expert Service Module

In the current era of liberalization every sector is competitive including agriculture, as it plays a major role either directly or indirectly in improving economic status of a country. Cloud computing, a recent IT revolution, can be used as a new computing paradigm to the agriculture sector. Cloud computing data centers will allow in storing vast database securely on which many complex calculations can be done as required by the researchers, scientists or farmers. It can provide timely and accurate data to take right decisions and to make better plans for the farms or fields. This paper proposes a framework for Management of Agriculture Data (MAD) and MAD-Expert Service Module as a part of MAD Cloud.

[1]  Yin Qirui.  Kaas-based intelligent service model in agricultural expert system , 2012, 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet).

[2]  Jinesh Varia,et al.  Best Practices in Architecting Cloud Applications in the AWS Cloud , 2011 .

[3]  Peter Gardner.  Application of computer technology , 1999 .

[4]  Carsten Binnig,et al.  How is the weather tomorrow?: towards a benchmark for the cloud , 2009, DBTest '09.

[5]  Alexandru Iosup,et al.  Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing , 2011, IEEE Transactions on Parallel and Distributed Systems.

[6]  Hidekazu Tsuji,et al.  A new QoS ontology and its QoS-based ranking algorithm for Web services , 2009, Simul. Model. Pract. Theory.

[7]  Yifan Bo,et al.  The Application of Cloud Computing and the Internet of Things in Agriculture and Forestry , 2011, 2011 International Joint Conference on Service Sciences.

[8]  Theodor J. Stewart,et al.  Multiple Criteria Decision Analysis , 2001 .

[9]  Peter I. Corke,et al.  Transforming Agriculture through Pervasive Wireless Sensor Networks , 2007, IEEE Pervasive Computing.

[10]  Rajkumar Buyya,et al.  The Aneka platform and QoS-driven resource provisioning for elastic applications on hybrid Clouds , 2012, Future Gener. Comput. Syst..

[11]  Rajkumar Buyya,et al.  Article in Press Future Generation Computer Systems ( ) – Future Generation Computer Systems Cloud Computing and Emerging It Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility , 2022 .

[12]  Mamadou Thiam.  Role of information technology in agriculture , 2013 .

[13]  Duan Yan-e,et al.  Design of Intelligent Agriculture Management Information System Based on IoT , 2011, 2011 Fourth International Conference on Intelligent Computation Technology and Automation.

[14]  Chen Gui-fen.  Application of Cloud Computing in Agricultural Information Resources Integration Mode , 2012 .

[15]  Abhijeet Singh,et al.  An Expert System for diagnosis of diseases in Rice Plant , 2010 .

[16]  Matthias Ehrgott,et al.  Multiple criteria decision analysis: state of the art surveys , 2005 .

[17]  Qian Kun.  The Application of Cloud Computing in Agricultural Management Information System , 2012 .

[18]  Liu Li-jie.  Application of the Computer Technology on the Modern Agriculture , 2009 .

[19]  Michael A. Cusumano,et al.  Cloud computing and SaaS as new computing platforms , 2010, CACM.

[20]  Benn Konsynski,et al.  CHEP: The Net of Things , 2008, Commun. Assoc. Inf. Syst..