Publication | Closed Access
AgroMobile: A Cloud-Based Framework for Agriculturists on Mobile Platform
68
Citations
14
References
2013
Year
Precision AgricultureEngineeringAgricultural CyberneticsEdge ComputingMobile DevicesAgricultureCloud ComputingAgricultural EconomicsComputer EngineeringCloud-based FrameworkAgricultural MachineryCrop Image AnalysisMobile ComputingInternet Of ThingsMobile Cloud ServiceTechnologyBackend-as-a-serviceMobile Computing System
Today, use of mobile devices is very common by everyone, including the farmers. Introduction of Information and Communication Technologies (ICT) has seen a keen role in daily life of farmers. Earlier, farmers used to depend on clouds for rains were looking into the Cloud Computing (CC) for their solutions towards cultivation of better crops in modern agricultural world. The conventional methods used by the farmers, particularly in India, are very slow and unreliable. The crops are damaged in field itself due to disease attacks and lack of information resources. This loss grows more than 40% in total annually. This paper proposes various ways in which a farmer can utilize MCC on their handsets using application called AgroMobile, to assist them for relatively better cultivation and marketing. The main attention of this work is focused on crop image analysis. Image processing techniques requires large amount of computation power and memory to process for which a mobile devices fails. Hence, this framework uses MCC, which in effect, these authors believe that, puts cloud into a farmer's pocket. The experimental setup uses tools like OpenNebula 2.0, and MATLAB 2012b. In this research an Android based mobile devices are used for testing but this is not the only device.
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