IOT Based Plant Growth Monitoring and Ideal Condition Detection System

In recent times, the Internet of Things (IoT) has inched itself as an evolutionary technology in agriculture as it allows for managing and controlling the growth conditions of the plants in an optimal way. This paper demonstrates the features of an IoT based system for effective plant growth monitoring along with ideal condition detection. The set of sensors embedded in the system incorporates measuring devices that capture and send the temperature, humidity, soil moisture content and light intensity to a central processing unit. The system sets and analyzes the data cloud along with AI algorithms for efficient agricultural activities and systems. This study focuses on the system design, its data gathering procedures, and decision processes, and their potential in smart farming and urban gardening. The experiments, conducted within the framework of the given concept showed that the system was able to operate within ideal conditions and therefore when changes occur, it initiates an action that helps avoid resource losses and assist in improving the yield. It reiterates the importance of IoT in world of agriculture and the quest for sustainability in modern farming practices.