Fuzzy Expert Model for Predicting and Enhancing Button Mushroom Growth Parameters

Abstract

Button mushroom farming is a complex agricultural practice requiring precise control and monitoring of various environmental variables to ensure optimal growth conditions and maximize yield. This study introduces a direction and evaluation approach in the context of button mushroom farming, utilizing fuzzy logic through MATLAB for intelligent decision-making. The proposed system focuses on optimizing key input variables, including temperature, humidity, ventilation, and substrate moisture, to steer the direction of the farming process. Simultaneously, it employs fuzzy logic to evaluate the success of the cultivation based on critical output variables such as mushroom yield and quality.

The input variables are dynamically controlled through fuzzy interface system (Mamdani) in MATLAB, enabling adaptive adjustments to the cultivation environment. Temperature, humidity, ventilation, and substrate moisture are optimized based on real-time sensor inputs, growth stage considerations, and predefined parameters. The system aims to create an intelligent and responsive farming environment that aligns with the specific requirements of button mushrooms at different stages of development.

Output variables, namely mushroom yield, and quality, serve as critical indicators of the system’s success. Fuzzy logic algorithms in MATLAB assess the effectiveness of the input controls, ensuring that the cultivated mushrooms meet predefined quality criteria. The evaluation process considers factors such as quantity, size, appearance, and the absence of defects, contributing to the market value and economic viability of the produce.

The direction and evaluation approach presented in this study not only enhances the efficiency and resource utilization in button mushroom farming but also provides a framework for intelligent decision-making. The integration of fuzzy logic through MATLAB offers adaptability, precision, and user-friendly implementation, making it a valuable tool for modernizing and optimizing mushroom cultivation practices. This research contributes to the advancement of precision agriculture, promoting sustainable and economically viable solutions for button mushroom farmers.