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

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Proceedings of the Third International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((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.

Agra (27° 11′0″ North, 78° 1′0″ East), Uttar Pradesh, India, Asia.

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Author information

Authors and Affiliations

  1. Mahamaya Technical University, Noida, India

    Darpan Anand

  2. HITM, Agra, India

    Darpan Anand & Manish Gupta

  3. Dr. Bhim Rao Ambedkar University, Agra, India

    Manu Pratap Singh

Authors
  1. Darpan Anand
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  2. Manu Pratap Singh
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  3. Manish Gupta
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Corresponding author

Correspondence to Darpan Anand .

Editor information

Editors and Affiliations

  1. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Millie Pant

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  3. Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  4. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

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Anand, D., Singh, M.P., Gupta, M. (2014). Application of Rule Based Fuzzy Inference System in Predicting the Quality and Quantity of Potato Crop Yield in Agra. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 258. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1771-8_19

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  • DOI: https://doi.org/10.1007/978-81-322-1771-8_19

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1770-1

  • Online ISBN: 978-81-322-1771-8

  • eBook Packages: EngineeringEngineering (R0)

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