Iot based climate change prediction using machine learning

Internet of things is one of the rapidly growing fields for delivering social and economic benefits for emerging and developing economy. The field of IOT is expanding its wings in all the domains like medical, industrial, transportation, education, mining etc. Now-days with the advancement in integrated on chip computers like Arduino, Raspberry pi the technology is reaching the ground level with its application in climate change and weather changes. Climate change is a critical factor while culturing atmospheric conditions. Weather status might be a basic issue, it mainly depends upon numerous parameters like dissolved oxygen, carbonates, ammonia, winds, humidity, Air quality, temperature, etc.

The proposed system continuously monitors the Weather status parameter using sensors; the detected information is conveyed to the population mobile via the cloud. Accordingly, actions will be taken in time to know the weather status of user choice location and plan for his/her diary work safely. Among the issues, the slow latent period within the care of human actions, and therefore the wastage of resources like water, in cultivation are the necessary problems has to be addressed.

The system proposed includes of sensors measuring important weather parameters for monitoring the greenhouse gases on temperature change. The measured values from the sensors are compared with the established data and an alert message is processed in the form of Pop_Up message through web server

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