Monitoring of environment conditions using IoT based on convolutional neural network technique

To achieve maximum environmental monitoring, parameters such as environmental monitoring such as temperature, humidity, and moisture level etc.,are completed via the website and by manual and automatic detection of sensor values. The proposed Convolutional Neural Network Technique (CNNT) is the main goal of monitoring the environment condition and system designed for the process data and save. This work plans a straightforward, minimal effort, a CNNT controller-based system to screen the environmental condition data is collected and processed in three layers. The Internet of Things is used to send the data to users faster and store the data in the cloud. The weight and activation function is processed, and the data is the main part ofthe CNN technique and gets the accurate data to predict the result. The device to get the value;they actively make independent decisions, working together to form communications and difficult choices. Computing for communication, embedded sensors, communication protocols, and Internet Protocol IoT technologies can provide networking that offers a significant number of challenges and presentations that require specific communication challenges to monitor the environmental conditions.