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Fuzzy Inference System for Productivity and Fertility of Soil
Miss Maya V. Mawale,  Dr. Vinay Chavan
An assimilated approach to precision agriculture system is used for prediction of soil productivity and soil fertility using expert knowledge as one of its components for achieving sustainability. This prediction system is implemented with the help of fuzzy logic theory. Methodolgy consist of selection of dependent and independent soil parameter, fuzzification, fuzzy inference rule,memebership function and defuzzification process. This work shows that fuzzy inference system is an efficient method to demonstrate defuzzification of expert knowledge using fuzzy inference process. The paper developed a fuzzy logic model using mamdani fuzzy inference system The inference rules are framed using expert knowledge in the form of IF...THEN structures. FIS tool in Matlab is used for building a prediction model. Fuzzy model is used for the prediction of soil productivity using essential soil parameter in percentage.
Keywords- Defuzzification,Fuzzification,Fuzzy inference system, Fuzzy logic controller,Multiple input single output,Soil productivity,Soil ferility.
Unique Identification Number - IJEDR1403071Page Number(s) - 3252-3257Pubished in - Volume 2 | Issue 3 | Sept 2014DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Miss Maya V. Mawale,  Dr. Vinay Chavan,   "Fuzzy Inference System for Productivity and Fertility of Soil"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 3, pp.3252-3257, Sept 2014, Available at :http://www.ijedr.org/papers/IJEDR1403071.pdf