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

conference contribution
posted on 2023-05-23, 10:19 authored by Dutta, R, Mueller, H, Smith, D, Das, A, Jagannath Aryal
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.

History

Publication title

Proceedings of the 4th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications

Volume

41

Editors

W Fan, A Bifet, Q Yang, PS Yu

Pagination

9-18

ISSN

1533-7928

Department/School

School of Engineering

Publisher

Journal of Machine Learning Research

Place of publication

United States of America

Event title

4th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications

Event Venue

Sydney, Australia

Date of Event (Start Date)

2015-08-10

Date of Event (End Date)

2015-08-13

Rights statement

Copyright 2015 The Authors

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in the earth sciences

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    University Of Tasmania

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