feeds of humidity, temperature and light intensity downloaded from ThingSpeak

This paper is about the development of an internet-based weather station system to monitor temperature, humidity, light intensity and predict the possibility of whether it will rain or not. The real-time monitoring system was connected to a microcontroller embedded with a Wi-Fi module (NodeMCU/ESP8266), a temperature and humidity sensor (DHT11), and a light-dependent resistor (LDR). This device is designed as a platform to provide adequate information for immediate and future weather forecasts. The measured parameters are sent to an open-source IoT analytics platform (ThingSpeak), recorded in the channel, and were downloaded for analysis purposes. The temperature and humidity level was monitored using the Things View Android application and can be accessed by anybody once  given the Thing Speak channel ID. Weather data was easily viewed and it can aid in appropriate planning. This IoT-based system will help keep up with the demand of the ravaging global warming with the provision of real-time data for planning towards landpreparation and crop planting and for other purposes that are weather dependent.