• Rakshita Gowda
• Sakshi Sarkate
• Arundhati Mehendale
• Bharat Patil

Weather forecasting, rooted in science and technology, historically relied on observed patterns. This System employs the NodeMCU ESP8266 board, Blynk app, and four essential sensors: rain, DHT11, BPM180 and LDR - to provide real-time data on rainfall, temperature, humidity, pressure and light levels. The system, designed for cost- effectiveness, connects seamlessly to the Blynk app via the Blynk Cloud, allowing users to remotely monitor and control environmental conditions. With applications in agriculture, specifically for farms and greenhouses, the system offers a low- cost solution for efficient resource management. The WiFi module NodeMCU board communicates sensor data to both the Blynk app and an LCD display, enabling users to visualize and analyze the information conveniently. This step-by-step guide outlines the components required for implementation, making it an accessible and practical project for IoT enthusiasts and agricultural practitioners alike.

LCD Display, Blynk Cloud, nodeMCU , Sensors, IOT, Weather Station

" Real-Time based Weather Monitoring System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.e714-e717, February-2024, Available :http://www.jetir.org/papers/JETIR2402497.pdf

" Real-Time based Weather Monitoring System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppe714-e717, February-2024, Available at : http://www.jetir.org/papers/JETIR2402497.pdf