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A Hybrid Approach to Modelling the Climate Change Effects on Malaysia’s Oil Palm Yield at the Regional Scale

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Book cover Recent Advances on Soft Computing and Data Mining

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 287))

Abstract

Understanding the climate change effects on local crops is vital for adapting new cultivation practices and assuring world food security. Given the volume of palm oil produced in Malaysia, climate change effects on oil palm phenology and fruit production have greater implications at both local and international scenes. In this context, the paper looks at analysing the recent climate change effects on oil palm yield within a five year period (2007-2011) at the regional scale. The hybrid approach of data mining techniques (association rules) and statistical analyses (regression) used in this research reveal new insights on the effects of climate change on oil palm yield within this small data set insufficient for conventional analyses on their own.

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References

  1. Iglesias, A., Rosenzweig, C.: Effects of Climate Change on Global Food Production, Special Report on Emission Scenarios (2009), http://sedac.ciesin.columbia.edu/mva/cropclimate/

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Author information

Authors and Affiliations

  1. Auckland University of Technology (AUT), Auckland, New Zealand

    Subana Shanmuganathan & Ajit Narayanan

  2. Geoinformatics Research Centre (GRC), Auckland University of Technology (AUT), Auckland, New Zealand

    Subana Shanmuganathan

  3. School of Computer and Mathematical Sciences (SCMS), Auckland University of Technology (AUT), Auckland, New Zealand

    Ajit Narayanan

  4. Department of Technology and Human Development, Faculty of Science, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia

    Maryati Mohamed

  5. Research, Innovation, Commercialisation & Consultancy Office (RICCO), Universiti Tun Hussein Onn Malaysia, Johor, Malaysia

    Rosziati Ibrahim

  6. Universiti Tun Hussein Onn Malaysia (UTHM), Johor, Malaysia

    Maryati Mohamed & Rosziati Ibrahim

  7. MPOB Research Station Kluang, Kluang, Malaysia

    Haron Khalid

Authors
  1. Subana Shanmuganathan
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  2. Ajit Narayanan
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  3. Maryati Mohamed
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  4. Rosziati Ibrahim
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  5. Haron Khalid
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Corresponding author

Correspondence to Subana Shanmuganathan .

Editor information

Editors and Affiliations

  1. Department of Information System Faculty of Comp. Sci. & Info. Tech., University of Malaya, Kuala Lumpur, Malaysia

    Tutut Herawan

  2. Faculty of Comp. Sci. and Info. Tech, Universiti Tun Hussein Onn Malaysia, Parit Raja, Malaysia

    Rozaida Ghazali

  3. Faculty of Comp. Sci. and Info. Tech., Universiti Tun Hussein Onn Malaysia, Parit Raja, Malaysia

    Mustafa Mat Deris

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© 2014 Springer International Publishing Switzerland

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Cite this paper

Shanmuganathan, S., Narayanan, A., Mohamed, M., Ibrahim, R., Khalid, H. (2014). A Hybrid Approach to Modelling the Climate Change Effects on Malaysia’s Oil Palm Yield at the Regional Scale. In: Herawan, T., Ghazali, R., Deris, M. (eds) Recent Advances on Soft Computing and Data Mining. Advances in Intelligent Systems and Computing, vol 287. Springer, Cham. https://doi.org/10.1007/978-3-319-07692-8_32

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  • DOI: https://doi.org/10.1007/978-3-319-07692-8_32

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07691-1

  • Online ISBN: 978-3-319-07692-8

  • eBook Packages: EngineeringEngineering (R0)

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