Forecast Research of Crop Water Requirements Based on Fuzzy Rules

  • Jianbing Zhang
  • Yeping Zhu
  • Feixiang Chen
Conference paper
Part of the The International Federation for Information Processing book series (IFIPAICT, volume 259)

This paper put forward the idea of producing fuzzy rules by genetic algorithms based on Takagi-Surgeon Fuzzy Logic System from the dataset of multidimension climate data and crop water requirements, and establishing the fuzzy model to predict crop water requirements. The forecast model was tested and the result showed that it was an effective way to forecast crop water requirements by fuzzy rules model.


Fuzzy logic system Genetic algorithms Crop water requirements 


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Copyright information

© IFIP International Federation for Information Processing 2008

Authors and Affiliations

  • Jianbing Zhang
    • 1
  • Yeping Zhu
    • 2
  • Feixiang Chen
    • 3
  1. 1.Department of Computer Science and TechnologyChina University of Petroleum-BeijingChina
  2. 2.Agricultural Information InstituteChinese Academy of Agricultural ScienceChina
  3. 3.College of InformationBeijing Forestry UniversityChina

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