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Information Journal Paper

Title

SPATIAL PREDICTION OF WHEAT CROP YIELD USING DIGITAL SOIL MAPPING IN GOTVAND KHUZESTAN PROVINCE

Pages

  175-184

Abstract

 A number of 110 observed crop yields were correlated with AUXILIARY VARIABLES (DEM and Landsat images) using GENETIC PROGRAMMING (GP) in Gotvand area (Khuzestan Province). The spatial prediction map of wheat crop yield was prepared using the obtained equation.Wrapper algorithm identified some more important AUXILIARY VARIABLES Nof: DVI, SAVI, and wetness index and channel network based level. RMSE, coefficient of determination and Lin's concordance coefficient of GP (1) with all the auxiliary data were obtained as 525.11, 0.87 and 0.82, respectively. Moreover, results indicated GP (2) with auxiliary data selected through WRAPPER ALGORITHM could also reasonably predict wheat crop yield (RMSE, coefficient of determination and Lin's concordance coefficient, 530.82, 0.86 and 0.79, respectively). It can, therefore, be recommended to use the same approach to predict spatial distribution of crop yields in the future studies.

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  • Cite

    APA: Copy

    TAGHIZADEH MEHRJARDI, ROHOLLAH, SEYED JALALI, SEYED ALIREZA, & SARMADIAN, FEREYDOON. (2016). SPATIAL PREDICTION OF WHEAT CROP YIELD USING DIGITAL SOIL MAPPING IN GOTVAND KHUZESTAN PROVINCE. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 47(1), 175-184. SID. https://sid.ir/paper/225645/en

    Vancouver: Copy

    TAGHIZADEH MEHRJARDI ROHOLLAH, SEYED JALALI SEYED ALIREZA, SARMADIAN FEREYDOON. SPATIAL PREDICTION OF WHEAT CROP YIELD USING DIGITAL SOIL MAPPING IN GOTVAND KHUZESTAN PROVINCE. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2016;47(1):175-184. Available from: https://sid.ir/paper/225645/en

    IEEE: Copy

    ROHOLLAH TAGHIZADEH MEHRJARDI, SEYED ALIREZA SEYED JALALI, and FEREYDOON SARMADIAN, “SPATIAL PREDICTION OF WHEAT CROP YIELD USING DIGITAL SOIL MAPPING IN GOTVAND KHUZESTAN PROVINCE,” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 47, no. 1, pp. 175–184, 2016, [Online]. Available: https://sid.ir/paper/225645/en

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