Skip to main content

Temperature Effects on Olive Fruit Fly Infestation in the FlySim Cellular Automata Model

  • Conference paper
Book cover Natural Computing

Abstract

FlySim is a Cellular Automata model developed for simulating infestation of olive fruit flies (Bactrocera Oleae) on olive (Olea europaea) groves. The flies move into the groves looking for mature olives where eggs are spawn. This serious agricultural problem is mainly tackled by using chemical agents at the first signs of the infestation, but organic productions with no or few chemicals are strongly requested by the market. Oil made with infested olives is poor in quality, nor olives are suitable for selling in stores. The FlySim model simulates the diffusion of flies looking for mature olives and the growing of flies due to atmospheric conditions. Foreseeing an infestation is the best way to prevent it and to reduce the need of chemicals in agriculture. In this work we investigated the effects of temperature on olive fruit flies and resulting infestation during late spring and summer.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Dominici, M., Pucci, C., Montanari, G.E.: Dacus Oleae (Gmel.) Ovipositing in Olive Drupes (Diptera, Tephrytidae). J. Appl. Entomol. 101, 111–120 (1986)

    Article  Google Scholar 

  2. Neuenschwander, P., Michelakis, S.: The Infestation of Dacus Oleae (Gmel.) (Diptera, Tephritidae) at Harvest Time and Its Influence on Yield and Quality of Olive Oil in Crete. Z. Ang. Entomol. 86, 420–433 (1978)

    Google Scholar 

  3. Pommois, P., Brunetti, P., Bruno, V., Mazzei, A., Baldacchini, V., Gregorio, S.D.: FlySim: A Cellular Automata Model of Bactrocera Oleae (Olive Fruit Fly) Infestation and First Simulations. In: El Yacoubi, S., Chopard, B., Bandini, S. (eds.) ACRI 2006. LNCS, vol. 4173, pp. 311–320. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  4. Baldacchini, V., Gazziano, S.: Environmental monitoring and forecasting. In: Olive Pest Management, final report of the project ECLAIR 209(CEE AGRE 0013-C), Development of Environmentally Safe Pest Control System for European Olives, ch. 8 (1998)

    Google Scholar 

  5. Bone, C., Dragicevic, S., Roberts, A.: A Fuzzy-Constrained Cellular Automata Model of Forest Insect Infestations. Ecological Modelling 192, 107–125 (2006)

    Article  Google Scholar 

  6. Fletcher, B.S., Kapatos, E.T.: The Influence of Temperature, Diet and Olive Fruits on the Maturation Rates of Female Olive Flies at Different Times of the Year. Entomol. Exp. Appl. 33, 244–252 (1983)

    Google Scholar 

  7. Gregorio, S.D., Serra, R.: An Empirical Method for Modelling and Simulating Some Complex Macroscopic Phenomena by Cellular Automata. FGCS 16, 259–271 (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Tokyo

About this paper

Cite this paper

Bruno, V., Baldacchini, V., Di Gregorio, S. (2010). Temperature Effects on Olive Fruit Fly Infestation in the FlySim Cellular Automata Model. In: Peper, F., Umeo, H., Matsui, N., Isokawa, T. (eds) Natural Computing. Proceedings in Information and Communications Technology, vol 2. Springer, Tokyo. https://doi.org/10.1007/978-4-431-53868-4_14

Download citation

  • DOI: https://doi.org/10.1007/978-4-431-53868-4_14

  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-53867-7

  • Online ISBN: 978-4-431-53868-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics