مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

794
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

PERFORMANCE FORECASTING OF SUGARCANE FIELDS USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS)

Pages

  1-9

Abstract

 SUGARCANE FIELDS are affected by different parameters and factors such as ground water table, salinity of saturated soil, depth of irrigation, variety and age of plants and etc. Evaluating effects of these parameters, it is possible to propose solutions to maximize SUGARCANE FIELDS performance. In this paper Adaptive Neuro - Fuzzy Inference System (ANFIS) is used to model the performance of SUGARCANE FIELDS. This study is performed based on three years data of "Mirza koochak khan cultivation and industry". Results showed that the proposed model has a correlation factor of 0.978, RMSE of 1.35 and error of 3.2 The proposed model has a very high accuracy in PERFORMANCE FORECASTING of SUGARCANE FIELDS.

Cites

  • No record.

    • References

  • No record.

    • Cite

    APA: Copy

    AHMADVAND, MARYAM, HOSHMAND, ABDOLRAHIM, & NASERI, ADEDALI. (2013). PERFORMANCE FORECASTING OF SUGARCANE FIELDS USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS). IRRIGATION SCIENCES AND ENGINEERING (JISE) (SCIENTIFIC JOURNAL OF AGRICULTURE), 35(4), 1-9. SID. https://sid.ir/paper/217271/en

    Vancouver: Copy

    AHMADVAND MARYAM, HOSHMAND ABDOLRAHIM, NASERI ADEDALI. PERFORMANCE FORECASTING OF SUGARCANE FIELDS USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS). IRRIGATION SCIENCES AND ENGINEERING (JISE) (SCIENTIFIC JOURNAL OF AGRICULTURE)[Internet]. 2013;35(4):1-9. Available from: https://sid.ir/paper/217271/en

    IEEE: Copy

    MARYAM AHMADVAND, ABDOLRAHIM HOSHMAND, and ADEDALI NASERI, “PERFORMANCE FORECASTING OF SUGARCANE FIELDS USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS),” IRRIGATION SCIENCES AND ENGINEERING (JISE) (SCIENTIFIC JOURNAL OF AGRICULTURE), vol. 35, no. 4, pp. 1–9, 2013, [Online]. Available: https://sid.ir/paper/217271/en

    Related Journal Papers

    Related Seminar Papers

  • No record.

    • Related Plans

  • No record.

    • Recommended Workshops





    Move to top