In this research work Adaptive Neuro-Fuuy Inference System (ANFIS) in the frame of Ma!lab was applied to develop a tool for soil compaction assessment that may help planning of mechanized operations in order to increase the sustainability of agricultural activily, The parameters of the triangular membership functions and the zero-order Sugeno fuzzy model were computed by means of hybrid learning, The model considers soil moisture content, clay ratio (represents soil type), wheel index and the number of wheel passes over the field as input variables. The model has been built based on field experimental data, The predicted index of soil compaction was compared with measured values. The results demonstrate that neuro-fuzzy modet deri ..•• ed by the proposed framework delivered satisfactory outcome in spite of the significant complexity of the considered problem.
Elbanna, E., Aboukarima, A. M., & Mourad, R. I. A. (2005). A NEURO-FUZZY FRAMEWORK FOR ASSESSMENT SOIL COMPACTION DUE TO TRAFFIC OF AGRICULTURAL IMPLEMENTS ON DfF'FERENT SOILS. Journal of Soil Sciences and Agricultural Engineering, 30(9), 5365-5379. doi: 10.21608/jssae.2005.237771
MLA
E. Elbanna; A. M. Aboukarima; R. I. A. Mourad. "A NEURO-FUZZY FRAMEWORK FOR ASSESSMENT SOIL COMPACTION DUE TO TRAFFIC OF AGRICULTURAL IMPLEMENTS ON DfF'FERENT SOILS", Journal of Soil Sciences and Agricultural Engineering, 30, 9, 2005, 5365-5379. doi: 10.21608/jssae.2005.237771
HARVARD
Elbanna, E., Aboukarima, A. M., Mourad, R. I. A. (2005). 'A NEURO-FUZZY FRAMEWORK FOR ASSESSMENT SOIL COMPACTION DUE TO TRAFFIC OF AGRICULTURAL IMPLEMENTS ON DfF'FERENT SOILS', Journal of Soil Sciences and Agricultural Engineering, 30(9), pp. 5365-5379. doi: 10.21608/jssae.2005.237771
VANCOUVER
Elbanna, E., Aboukarima, A. M., Mourad, R. I. A. A NEURO-FUZZY FRAMEWORK FOR ASSESSMENT SOIL COMPACTION DUE TO TRAFFIC OF AGRICULTURAL IMPLEMENTS ON DfF'FERENT SOILS. Journal of Soil Sciences and Agricultural Engineering, 2005; 30(9): 5365-5379. doi: 10.21608/jssae.2005.237771
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