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Fuzzy Cellular Model for Predator-Prey Interaction Applied to the Control of Plagues in a Peppers Cropping

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Soft Computing for Intelligent Control and Mobile Robotics

Part of the book series: Studies in Computational Intelligence ((SCI,volume 318))

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Abstract

The control of plagues is the regulation and the handling of some species referred to as plagues, normally these are species that affect the ecology and the economy of a certain location. The search for solutions to the important economic incidence of the plagues in the croppings has had an evolution throughout the last two decades. In the studies of population dynamics of plagues in croppings, it is fundamental to consider the predator-prey systems. We formulated a fuzzy cellular model for modeling predator-prey interactions and to study the control of plagues in a croppings of pepper affected by Frankliniella species. We consider as predators for the biological control of these plagues two species to the Orius species. Our model can be used to calculate the introduction of natural enemies (predators) for fighting against the injurious species (preys). The results show that the proposed model works as a tool to achieve plagues control. The combination of predator and prey numbers allows us to stabilize the pepper density level on a suitable bio-economic equilibrium level.

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Leal-Ramirez, C., Castillo, O., Rodriguez-Diaz, A. (2010). Fuzzy Cellular Model for Predator-Prey Interaction Applied to the Control of Plagues in a Peppers Cropping. In: Castillo, O., Kacprzyk, J., Pedrycz, W. (eds) Soft Computing for Intelligent Control and Mobile Robotics. Studies in Computational Intelligence, vol 318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15534-5_21

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  • DOI: https://doi.org/10.1007/978-3-642-15534-5_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15533-8

  • Online ISBN: 978-3-642-15534-5

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