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.

Keywords

Fuzzy logic system Genetic algorithms Crop water requirements 

References

  1. Cao xianbing, Zhuang zhenquan, A method of automatically produce fuzzy rule based on genetic algorithm, Pattern recognition and artificial intelligence 1997, 10 (2):171-175.Google Scholar
  2. Dou zhengzhong, Fuzzy logic technology is core technology of 21st century, Application research of computers 1996, 13(4):8-12.Google Scholar
  3. Renato Silvio da Frota Ribeiro. Fuzzy logic based automated irrigation control system optimized via neural networks [D]. American: The University of Tennessee, 1998.Google Scholar
  4. Wang shitong, Neuro-Fuzzy System and its application. Beihang University Press, Beijing 1998, 6.Google Scholar
  5. Zhang Bing, Yuan qishou. Model for predicting crop water requirements by using L-M optimization algorithm BP neural network. Transactions of the Chinese society of agricultural engineering 2000, 20(6): 73-76.Google Scholar
  6. Zhang jianbing, Zhu yeping Forecasting research of diseases and pests based on fuzzy rules. System Sciences and Comprehensive Studies in Agriculture 2000, 16 (4): 283-285.Google Scholar
  7. Zhou ming. The Theory and application of genetic algorithm. National Defence Industry Press 1999.Google Scholar

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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