APPLYING FUZZY LOGIC AND IOT FOR INTELLIGENT AUTOMATION IN CRAYFISH WATER QUALITY CONTROL

Abstract

Crayfish, known for their high market value due to their substantial meat volume compared to other freshwater shrimp, necessitate improved cultivation efficiency, which can be significantly enhanced with advanced technology. In this innovative study, we meticulously designed a highly effective automatic water quality control system specifically for crayfish cultivation that strategically integrates an advanced Internet of Things (IoT)-based control system and a user-friendly smartphone application. This unique combination empowers users with real-time monitoring and control of the cultivation environment right at their fingertips. Uniquely, the system incorporates fuzzy logic within the decision-making algorithm, which maintains water quality by adaptively adjusting drainage and temperature control parameters based on the dynamic pH and turbidity conditions. This seamless and responsive mechanism ensures optimal cultivation conditions are maintained efficiently. This study manifests that this novel integration of IoT and fuzzy logic technology proved effective for automatic water quality control and monitoring but also holds substantial promise to revolutionize remote control and monitoring within crayfish farming, thereby boosting industry-wide efficiency and effectiveness.

Keywords

• Fuzzy Logic, Automatic Control System, Internet of Things, Crayfish