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Information Journal Paper

Title

INVESTIGATION OF THE OPTIMAL METHOD OF DATA PROCESSING TO INCREASE ACCURACY OF SIMULATION OF SURFACE SOIL SALINITY (CASE STUDY: MARVAST)

Pages

  915-928

Abstract

 Introduction: Salinity is one of the problems of arid and semi-arid soils. Identification and classification of saline/alkaline soils is necessity for dealing with difficult situations and correct management. Considering the nature of salinity data and selection of befitting methods to process data before use artificial neural network, can result in better simulations. The aim of this study was to investigate the optimal method for data processing to enhance the accuracy of surface soil salinity simulation and improve the efficiency of decision tree algorithm. …

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    APA: Copy

    HABIBIPOOR, A., TALEBI, A., KARIMIAN, A.A., DEHGHANI, F., & MOKHTARI, M.H.. (2017). INVESTIGATION OF THE OPTIMAL METHOD OF DATA PROCESSING TO INCREASE ACCURACY OF SIMULATION OF SURFACE SOIL SALINITY (CASE STUDY: MARVAST). JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 31(3 ), 915-928. SID. https://sid.ir/paper/141596/en

    Vancouver: Copy

    HABIBIPOOR A., TALEBI A., KARIMIAN A.A., DEHGHANI F., MOKHTARI M.H.. INVESTIGATION OF THE OPTIMAL METHOD OF DATA PROCESSING TO INCREASE ACCURACY OF SIMULATION OF SURFACE SOIL SALINITY (CASE STUDY: MARVAST). JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)[Internet]. 2017;31(3 ):915-928. Available from: https://sid.ir/paper/141596/en

    IEEE: Copy

    A. HABIBIPOOR, A. TALEBI, A.A. KARIMIAN, F. DEHGHANI, and M.H. MOKHTARI, “INVESTIGATION OF THE OPTIMAL METHOD OF DATA PROCESSING TO INCREASE ACCURACY OF SIMULATION OF SURFACE SOIL SALINITY (CASE STUDY: MARVAST),” JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), vol. 31, no. 3 , pp. 915–928, 2017, [Online]. Available: https://sid.ir/paper/141596/en

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