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Complex networks and simulation strategies: An application to olive fruit fly dispersion

Complex networks and simulation strategies: An application to olive fruit fly dispersion

Kalamatianos, Romanos, Avlonitis, Markos and Stravoravdis, Spyridon (2016) Complex networks and simulation strategies: An application to olive fruit fly dispersion. In: 2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA). IEEE, pp. 1-6. ISBN 978-1-4673-9312-6 ISSN 978-1-4673-9311-9 (Online) (doi:https://doi.org/10.1109/IISA.2015.7388025)

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Abstract

In this work a study for the role of different environmental factors to the evolution of olive fruit fly, via an appropriate network of population traps is given. More explicitly, the olive fruit fly is a parasitic insect that infests olive groves in many countries. Through the use of a network of traps a simulation model was developed and used to simulate the dispersion of olive fruit fly inside a real olive grove for different environmental factors, such as different starting areas of olive fruit fly presence, different temperature sets as well as different drifting distances. Results showed that the level of infestation of the grove was not dependent on the limited areas the olive fruit fly emerged but on the drifting distance a fly could travel per day.

Item Type: Conference Proceedings
Title of Proceedings: 2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA)
Additional Information: Conference held from 6-8 July 2015, Corfu, Greece
Uncontrolled Keywords: biology computing; crops; digital simulation; environmental factors; zoology; complex networks; drifting distances; environmental factors; grove infestation; olive fruit fly dispersion; olive fruit fly evolution; olive groves; parasitic insect; population traps; simulation model; simulation strategies; temperature sets; Data models; Dispersion; Insects; Mathematical model; Sociology; Statistics; Temperature measurement; dispersion; modeling; olive fruit fly; simulation; trap network
Subjects: T Technology > TH Building construction
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Department of Built Environment
Faculty of Architecture, Computing & Humanities > Sustainable Built Environment Research Group (SBERG)
Last Modified: 12 Feb 2018 16:10
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/19181

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