Cloud-Based Weather Monitoring System

Weather analysis plays a crucial role in daily activity to predict the weather system. Weather affects many fields, such as agriculture, industrial and aviation department. Temperature and humidity alarm systems are integrated with the monitoring system(s) at high and low set points. There should be an alert and also, most likely, a detectable alert, together with automated telephone dial-up or SMS text warnings to key personnel. The aforementioned material prefers constitution of actual time weather elements track setup and makes alert after a desired degree of temperature. This system is associated to the Thingspeak cloud service with sensors, to gather data and the data are accumulated in the desired channel. The channel data is analyzed by MATLAB analysis option on the Thingspeak cloud. Using IFTTT, which is a freeweb-based service to create the chain of simple conditional statements used to create the notification on mail, messages, tweet and so on. This observation of the temperature data plays a key role in server maintenance, and agriculture weather data is compulsory to predict the rainfall. In this paper we assert a solution that uses technologies like cloud computing, embedded systems and internet of things to improvise the productivity and at the same time decrease the usage. This architecture has been implemented in Neemrana, Rajasthan.