Soil compaction assessment at different grazing intensities using Adaptive Neuro-Fuzzy Inference System (Case study: Sabalan south eastern rangelands, Ardabil province)

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GHORBANI JILA; SEFIDI KIOMARS; Keivan Behjoo Farshad; JAFARIAN ZEINAB; MOAMERI MEHDI

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Journal: Journal of Rangeland Year:2021 | Volume:15 | Issue:2 Page(s): 256-268

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Title

Soil compaction assessment at different grazing intensities using Adaptive Neuro-Fuzzy Inference System (Case study: Sabalan south eastern rangelands, Ardabil province)

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Keywords

Grazing intensityQ2

penetrometerQ1

ANFISQ1

ModelingQ1

Soil CompactionQ1

Abstract

Grazing intensity should follow the management roles to prevent the Soil Compaction. Soil Compaction decreases plant root penetration so that at 2 MPa the root extension and above ground biomass will stop. In this research, digital penetrometer was used to assessment the Soil Compaction level in Sabalan region in Ardabil province caused by livestock. Grazing intensity and distance from village were evaluated as independent variables. The results show that the Grazing intensity and distance from village have significant effect on Soil Compaction at 1 percent of probability level. Grazing intensity at closer distance (200 m) increases the Soil Compaction and reduce the soil penetration. Modeling of different grazing intensities was made by ANFIS approach at MATLAB software. For assessment of models’ operation, root mean square error (RMSE) and correlation coefficient (R2) were used and the best model was determined. The results of best ANFIS model for prediction of Soil Compaction (RMSE=7. 223 and R2=0. 967) was compared with the result of regression model (RMSE=11. 518 and R2=0. 918). The results show that the ANFIS model had more R2 and less RMSE consequently more accuracy than the regression model.

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APA: Copy

GHORBANI, JILA, SEFIDI, KIOMARS, Keivan Behjoo, Farshad, JAFARIAN, ZEINAB, & MOAMERI, MEHDI. (2021). Soil compaction assessment at different grazing intensities using Adaptive Neuro-Fuzzy Inference System (Case study: Sabalan south eastern rangelands, Ardabil province). RANGELAND, 15(2 ), 256-268. SID. https://sid.ir/paper/390050/en

Vancouver: Copy

GHORBANI JILA, SEFIDI KIOMARS, Keivan Behjoo Farshad, JAFARIAN ZEINAB, MOAMERI MEHDI. Soil compaction assessment at different grazing intensities using Adaptive Neuro-Fuzzy Inference System (Case study: Sabalan south eastern rangelands, Ardabil province). RANGELAND[Internet]. 2021;15(2 ):256-268. Available from: https://sid.ir/paper/390050/en

IEEE: Copy

JILA GHORBANI, KIOMARS SEFIDI, Farshad Keivan Behjoo, ZEINAB JAFARIAN, and MEHDI MOAMERI, “Soil compaction assessment at different grazing intensities using Adaptive Neuro-Fuzzy Inference System (Case study: Sabalan south eastern rangelands, Ardabil province),” RANGELAND, vol. 15, no. 2 , pp. 256–268, 2021, [Online]. Available: https://sid.ir/paper/390050/en

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