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

  • Subana Shanmuganathan
  • Ajit Narayanan
  • Maryati Mohamed
  • Rosziati Ibrahim
  • Haron Khalid
Part of the Advances in Intelligent Systems and Computing book series (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.

Keywords

Regression test Data mining (association rules) WEKA JRip 

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References

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Subana Shanmuganathan
    • 1
    • 2
  • Ajit Narayanan
    • 1
    • 3
  • Maryati Mohamed
    • 4
    • 6
  • Rosziati Ibrahim
    • 5
    • 6
  • Haron Khalid
    • 7
  1. 1.Auckland University of Technology (AUT)AucklandNew Zealand
  2. 2.Geoinformatics Research Centre (GRC)Auckland University of Technology (AUT)AucklandNew Zealand
  3. 3.School of Computer and Mathematical Sciences (SCMS)Auckland University of Technology (AUT)AucklandNew Zealand
  4. 4.Department of Technology and Human Development, Faculty of ScienceUniversiti Tun Hussein Onn MalaysiaJohorMalaysia
  5. 5.Research, Innovation, Commercialisation & Consultancy Office (RICCO)Universiti Tun Hussein Onn MalaysiaJohorMalaysia
  6. 6.Universiti Tun Hussein Onn Malaysia (UTHM)JohorMalaysia
  7. 7.MPOB Research Station KluangKluangMalaysia

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