Construction of the Model of Crop Production Forecasting with Fuzzy Information

  • Dilnoz Mukhamediyeva
  • Barnoxon Solieva
Conference paper


The model of the yield forecast, realized as fuzzy knowledge bases, has been described. An algorithm for constructing a prediction model of this type has been given. In the basic procedures of this algorithm, operations of fuzzy inference have been used. A lot of inference rules describing the forecast model appear in a fuzzy knowledge base in the form of an expert knowledge matrix. The organization of a computational experiment on the evaluation of the effectiveness of the proposed model for predicting cotton yields is outlined. The input parameters of the model under study are: weather (climatic) conditions during sowing, vegetation and harvesting, degree of water supply, types of crops, types of soils, and types and amount of fertilizer application. The problems of constructing a forecasting model for yields under indistinctly specified information on the climatic and agro-technical conditions of growing agricultural crops were considered.


Forecasting model Fuzzy set Fuzzy conclusion Fuzzy model Knowledge base Expert knowledge matrix Algorithm Alternative Decision making 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Dilnoz Mukhamediyeva
    • 1
  • Barnoxon Solieva
    • 1
  1. 1.Scientific and Innovation Center of Information and Communication TechnologiesTashkentUzbekistan

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