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Using Adaptive Neuro Fuzzy Inference System (ANFIS) for Prediction of Soil Fertility for Wheat Cultivation

Author: Marzieh Mokarram*, Mohammad Jaafar Mokarram** and Behrouz Safarianejadian***

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Abstract

In this study, an attempt has been made to Adaptive neuro fuzzy inference system (ANFIS) to predict soil fertility using soil phosphorus (P), copper (Cu), manganese (Mn), iron (Fe), zinc (Zn), organic matter (OC) and soil potassium (K) in Fars province, southwest Iran. The paper developed an ANFIS model using Sugeno method. Methodology consist of selection of dependent and independent soil parameter, fuzzification, fuzzy inference rule, membership function and defuzzification process. The results show that the model with error of 1.6543e0.5 and -1.5941e0.5 for train and checked respectively had most accuracy for prediction of fertility. So ANFIS is an efficient method to prediction of soil fertility.

Keywords

Soil fertility, Adaptive neuro fuzzy inference system and Sugeno method.

Conclusion

In paper, an attempt is made to prediction of soil fertility in Fars province, Iran based on ANFIS. To make the model data driven, experimental data is used. The model is developed using MATLAB. The paper developed a fuzzy logic model using Sugeno fuzzy inference system. In the model for prediction of soil fertility used to predict soil fertility using Zn, P, OC, Mn, K, Fe and Cu as inputs data. The rules were determined using ANFIS model in Matlab software automatically. The ANFIS model according train data (soil fertility) and considering the lowest error define rules. Also the results show that the model with error of 1.6543e0.5 and -1.5941e0.5 for train and checked respectively had most accuracy for prediction of fertility. So using Gaussian membership function if ANFIS model can prediction soil fertility. The advantage of this model than the other models is definition membership function according train data (soil fertility) automatically. In fact definition membership function us

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How to cite this article

Marzieh Mokarram*, Mohammad Jaafar Mokarram** and Behrouz Safarianejadian (2017). Using Adaptive Neuro Fuzzy Inference System (ANFIS) for Prediction of Soil Fertility for Wheat Cultivation , Biological Forum – An International Journal 9(1): 37-44.