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Farm biosecurity hot spots prediction using big data analytics
conference contribution
posted on 2023-05-23, 10:09 authored by Li, C, Dutta, R, Smith, D, Das, A, Jagannath AryalIn this paper a novel application of salad leaf disease detection has been developed using a combination of big data analytics and on field multi-dimensional sensing. Heterogeneous knowledge integration from publicly available various big data sources, calibrated with in-situ ground truth information, has the merit to be a very efficient way to tackle large area wise farm biosecurity related issues and early disease or pest infestation prevention. We propose a cloud computing based intelligent big data analysis platform to predict farm hot spots with high probability of potential biosecurity threats and early monitoring system aiming to save the farm from significant economic damage.
History
Publication title
Proceedings of the 2015 IEEE 31st International Conference on Data Engineering WorkshopsPagination
101-104ISBN
978-1-4799-8441-1Department/School
School of EngineeringPublisher
Institute of Electrical and Electronics EngineersPlace of publication
United States of AmericaEvent title
2015 IEEE 31st International Conference on Data Engineering WorkshopsEvent Venue
Seoul, South KoreaDate of Event (Start Date)
2015-04-13Date of Event (End Date)
2015-04-17Rights statement
Copyright 2015 IEEERepository Status
- Restricted