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Interactive visual big data analytics for large area farm biosecurity monitoring: i-EKbase system

Citation

Dutta, R and Mueller, H and Smith, D and Das, A and Aryal, J, Interactive visual big data analytics for large area farm biosecurity monitoring: i-EKbase system, Proceedings of the 4th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, 10-13 August 2015, Sydney, Australia, pp. 9-18. ISSN 1533-7928 (2015) [Refereed Conference Paper]


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Copyright Statement

Copyright 2015 The Authors

Official URL: http://jmlr.org/proceedings/papers/v41/

Abstract

In this industrial application paper a novel application of salad leaf disease detection has been developed using a combination of big data analytics and on eld multi-dimensional sensing. We propose a cloud computing based intelligent big data analysis and interac- tive visual analytics platform to predict farm hot spots with high probability of potential biosecurity threats and early monitoring system aiming to save the farm from signi cant economic damage.

Item Details

Item Type:Refereed Conference Paper
Keywords:big data analytics, big data management, measurement, biosecurity risk prevention, interaction visual analytics, hot spot prediction
Research Division:Engineering
Research Group:Geomatic Engineering
Research Field:Photogrammetry and Remote Sensing
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Earth Sciences
Author:Das, A (Dr Aruneema Das)
Author:Aryal, J (Dr Jagannath Aryal)
ID Code:102847
Year Published:2015
Deposited By:Geography and Environmental Studies
Deposited On:2015-09-08
Last Modified:2017-10-24
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