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An Assessment to Toxicological Risk of Pesticide Exposure

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Building Sustainable Health Ecosystems (WIS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 636))

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Abstract

On the one hand, pesticides may be absorbed into the body orally, dermally, ocularly and by inhalation and the human exposure may be dietary, recreational and/or occupational where toxicity could be acute or chronic. On the other hand, the environmental fate and toxicity of the pesticide is contingent on the physico-chemical characteristics of pesticide, the soil composition and adsorption. Human toxicity is also dependent on the exposure time and individual’s susceptibility. Therefore, this work will focus on the development of an Artificial Intelligence based diagnosis support system to assess the pesticide toxicological risk to humanoid, built under a formal framework based on Logic Programming to knowledge representation and reasoning, complemented with an approach to computing grounded on Artificial Neural Networks. The proposed solution is unique in itself, once it caters for the explicit treatment of incomplete, unknown, or even self-contradictory information, either in terms of a qualitative or quantitative setting.

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Acknowledgments

This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.

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Authors and Affiliations

  1. Departamento de Química, Escola de Ciências e Tecnologia, Universidade de Évora, Évora, Portugal

    Cristina Coelho & Henrique Vicente

  2. Departamento de Química, Laboratório HERCULES, Escola de Ciências e Tecnologia, Universidade de Évora, Évora, Portugal

    M. Rosário Martins

  3. Centro de Engenharia Biológica, Micoteca da Universidade do Minho, Universidade do Minho, Braga, Portugal

    Nelson Lima

  4. Centro Algoritmi, Universidade do Minho, Braga, Portugal

    Henrique Vicente & José Neves

Authors
  1. Cristina Coelho
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  2. M. Rosário Martins
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  3. Nelson Lima
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  4. Henrique Vicente
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  5. José Neves
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Corresponding author

Correspondence to José Neves .

Editor information

Editors and Affiliations

  1. University of Turku, Turku, Finland

    Hongxiu Li

  2. University of Tampere, Tampere, Finland

    Pirkko Nykänen

  3. University of Turku, Turku, Finland

    Reima Suomi

  4. Deakin University, Melbourne, Australia

    Nilmini Wickramasinghe

  5. Åbo Academi University, Turku, Finland

    Gunilla Widén

  6. Åbo Academi University, Turku, Finland

    Ming Zhan

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Coelho, C., Martins, M.R., Lima, N., Vicente, H., Neves, J. (2016). An Assessment to Toxicological Risk of Pesticide Exposure. In: Li, H., Nykänen, P., Suomi, R., Wickramasinghe, N., Widén, G., Zhan, M. (eds) Building Sustainable Health Ecosystems. WIS 2016. Communications in Computer and Information Science, vol 636. Springer, Cham. https://doi.org/10.1007/978-3-319-44672-1_12

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  • DOI: https://doi.org/10.1007/978-3-319-44672-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44671-4

  • Online ISBN: 978-3-319-44672-1

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