Biofuz: A Takagi Sugeno Fuzzy Expert-Based Rice Straw Enhanced Decomposition System

Abstract

In this study, a Takagi Sugeno Fuzzy Expert system were developed to monitor the temperature, moisture and nutrient level to enhanced the decomposition of the rice straw. The input parameters of the Fuzzy Expert model that were used such as temperature, nutrient content, availability of oxygen and free moisture. In this study the Takagi Sugeno approach fuzzy expert system for easy monitoring of the temperature, nutrient content, oxygen, moisture and particle size of rice straw to enhanced decomposition were used. Upon conducting the experiments the fuzzy expert system improved the decomposition process as a result of testing where two experiments conducted one with Fuzzy expert system and the other one is the traditional decomposition process, the first experiment obtained 14 days to decompose the rice straw compared to the latter it took 24 days to decomposed the rice straw. It only shows that Fuzzy Inference expert system can be a great tool to monitor the decomposition process.