Evaluation the Soil Fertility Mapping for Corn Production (Zea mays L.) using Fuzzy and Analytic Hierarchy Process Methods

Author: Marzieh Mokarram* and Ehsan Bijanzadeh**

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Abstract

Fuzzy membership function and analytic hierarchy process (AHP) are effective tools to evaluate the soil fertility mapping of corn. To investigate the soil fertility maps using fuzzy and analytic hierarchy process (AHP) models a case study was conducted in Shiraz plain, southern Iran. In the study area from 34 field samples, seven soil parameters including organic content (OC), phosphorus (P), potassium (K), iron (Fe), zinc (Zn), manganese (Mn) and copper (Cu) of the soil were selected for soil fertility maps using inverse distance weighting (IDW) method and then fuzzy and AHP method were employed. Results of IDW showed that OC of soil was between 0.37 to 1.51% and only northwest and south of study area had suitable OC more than critical level. Also, Fuzzy model showed that most of the study area had low OC and need fertilization. All of the models showed that P content for most of the study area was lower than the critical level. Fuzzy map showed that most of the study areas except the

Keywords

Fuzzy map, critical level, inverse distance weighting, organic content.

Conclusion

The aim of this study was to determination of soil fertility in the east of Shiraz, southern Iran. Seven major soil properties were selected to soil fertility evaluation including organic content (OC), phosphorus (P), potassium (K), iron (Fe), zinc (Zn), manganese (Mn) and copper (Cu) of the soil were evaluated. Mokarram and Bijanzadeh 216 Then, raster map was prepared in ArcGIS for each of the parameters using IDW method. Also, the fuzzy and AHP method used for predictive soil fertility map. The results of the fuzzy and AHP method in this study show that only 0.96% of the lands had highly fertility, 29.92% medium fertility, 62.75% low fertility and 6.34% had very low fertility. Finally it was concluded that for suitable corn production, the fuzzy and AHP method has a higher accuracy for predictive soil fertility and the most important factor in soil fertility was OC and the least important factor was Mn in the study area.

References

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How to cite this article

Marzieh Mokarram* and Ehsan Bijanzadeh (2016). Evaluation the Soil Fertility Mapping for Corn Production (Zea mays L.) using Fuzzy and Analytic Hierarchy Process Methods , Biological Forum – An International Journal 8(2): 207-216.