An adaptive solution to improve accuracy for IoT based novel weather reporting system using Esp8266 microprocessor and comparing with Raspberrypi.

The project's ultimate goal is into action a sophisticated method of weather monitoring that makes use of the Internet of Things to make its real-time data widely available. In real time appliances, the ESP8266 microprocessor monitors temperature and humidity with a sample size of 10 measurements and a g power of 80%. When comparing the accuracy and loss of a raspberry pi and an ESP8266 microprocessor at measuring temperature and humidity, the latter achieves a 91.987 percent success rate while the former achieves only an 8.013 percent success rate. The significance value is 0.874 (P>0.05), indicating that there is a statistically significant difference between the study groups. Putting sensors out into the world is essential for gathering information for this purpose. Sensors placed around the world will gather and log data in near-real time. [ABSTRACT FROM AUTHOR]