Intelligent Computing and Control Framework for Smart Automated System

This paper presents development and analysis of different control strategies for smart automated system. The dynamic role an electrical motor sensor interfacing with wireless module becomes essential element in a agriculture system to monitor various environmental parameters. key parameters such as temperature, humidity, air pressure, soil health solar radiation are widely used analyze the growth plants based on climate conditions. However, automatic measure these vital provides feasible approach helps farmers their crops productivity. In this paper, intelligent fuzzy logic controller PID (Proportional Integral Derivative) is developed collect real time adapt any conditions by updating membership functions automatically help outputs. targets bring usage sensor-based methods field which includes panel tracking control, measurement, monitoring implementation methods. experiments have been carried out support graphical microcontroller programming environment. Experimental results provide that proposed effectively accurate transmission data continuous monitoring. advantage simple, easy implement maintain environment respect