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Application of Rule Based Fuzzy Inference System in Predicting the Quality and Quantity of Potato Crop Yield in Agra

  • Darpan Anand
  • Manu Pratap Singh
  • Manish Gupta
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 258)

Abstract

Conservatory growers want steadfast amount of yields so as to precisely meet the demand. Objective of this paper is to apply rule based fuzzy inference system (RBFIS) to forecasting crop yield by using ecological parameters. Inputs to RBFIS are derived from a crop development model (temperature, humidity, water/irrigation, available soil, fertilizers and seed quality). RBFIS has two output nodes, for the quality and the quantity of yield, with potato as a case.

Keywords

Crop yield Fuzzy system Inference Rule based fuzzy system 

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Copyright information

© Springer India 2014

Authors and Affiliations

  • Darpan Anand
    • 1
    • 2
  • Manu Pratap Singh
    • 3
  • Manish Gupta
    • 2
  1. 1.Mahamaya Technical UniversityNoidaIndia
  2. 2.HITMAgraIndia
  3. 3.Dr. Bhim Rao Ambedkar UniversityAgraIndia

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