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Cites:

Information Journal Paper

Title

ESTIMATING POTENTIAL EVAPOTRANSPIRATION USING FUZZY LOGIC AND NEURAL NETWORK

Pages

  195-201

Abstract

 Potential EVAPOTRANSPIRATION (ETp) rates are needed for irrigation scheduling. ETp rates are commonly estimated from weather parameters. The Fao-Penman Monteith, is now accepted for computation of ETp. This study examined the suitability of FUZZY LOGIC for estimating daily potential EVAPOTRANSPIRATION with grass reference crop compared with ARTIFICIAL NEURAL NETWORKS, Fao-Penman Monteith and EVAPOTRANSPIRATION pan. The daily climatic data of the Borojen station in Chaharmahale-Bakhtiari was used. The estimated ETp values from a FUZZY LOGIC model using six input parameters resulted in RMSE=0.74 mm/day, R2=0.88 which has the highest correlation and the lowest error in comparison with other methods.

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    • Cite

    APA: Copy

    ANGEBINI, S., & HONARBAKHSH, A.. (2010). ESTIMATING POTENTIAL EVAPOTRANSPIRATION USING FUZZY LOGIC AND NEURAL NETWORK. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), 17(3), 195-201. SID. https://sid.ir/paper/156187/en

    Vancouver: Copy

    ANGEBINI S., HONARBAKHSH A.. ESTIMATING POTENTIAL EVAPOTRANSPIRATION USING FUZZY LOGIC AND NEURAL NETWORK. JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES)[Internet]. 2010;17(3):195-201. Available from: https://sid.ir/paper/156187/en

    IEEE: Copy

    S. ANGEBINI, and A. HONARBAKHSH, “ESTIMATING POTENTIAL EVAPOTRANSPIRATION USING FUZZY LOGIC AND NEURAL NETWORK,” JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), vol. 17, no. 3, pp. 195–201, 2010, [Online]. Available: https://sid.ir/paper/156187/en

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