Efficient Monitoring system of Plant Watering Based on Internet of Things (IoT) Using MATLAB

Abstract

This study discusses the development of embedded systems for plant monitoring and irrigation systems utilizing Internet of Things (IoT) within MATLAB environments. The IoT paradigm is designed to connect devices via the Internet and facilitate user access to data. This model can accurately observe environmental data in agricultural areas and subsequently provide comparable data to the user. The model monitors various characteristics, including temperature, humidity, and light intensity. The infrared sensors are employed to detect the entry of external objects into the fields; in the event of an intruder detection, buzzers will activate for a few seconds. The motor operates in both manual and automatic modes, contingent upon moisture sensors. The motor is regularly alternated between the ON and OFF phases of pump operations. The outcome is observed in web applications and monitoring systems. The water plant processing is often conducted manually, based on the desired water quantities for the plant. Our study discusses automatic prototypes and systems designed for plant irrigation based on moisture levels. This study offers a more secure application with greater user accessibility compared to existing solutions.