INTEGRATED AUTOMATE CLIMATE CHANGE FACTORS DETECTION AND MONITORING USING MULTIPLE TECHNOLOGIES

This article describes in detail how to detect the effects of climate change through hybrid technology and give the solutions. In today's environment, climate change [1] is emerging as the biggest problem threatening the world. This study describes in detail the study of the detection and characteristics of various types of natural disasters caused by climate change such as heavy rains, floods, storms, and wildfires. This research is the combination of IOT, wireless sensor network, Big data analytics, Cloud computing and artificial Intelligence. The proposed system consists of wireless sensor which detect Environmental factor such as rain, flood, storm and wildfire. The sensor data are stored and it will be analyzed into already existing environment data. When there is a discrepancy between the information taken by the sensor and the existing information, the actuator in this system will start working automatically. For example, sensors that sense rain during heavy rains send information to a Database. If there is a discrepancy between the existing information and the information available, actuator will start working immediately. Immediately the information goes to the Central Control Room and from there the information goes to the Disaster Management Centre. So main aim of this project is to detect the climate change in environment, and it gives the solution to the problem.