Abstract: This project introduces a Smart Agricultural Monitoring System that integrates IoT, mobile technology, and data analytics to enhance irrigation efficiency and environmental monitoring in agriculture. Utilizing the ESP8266 NodeMCU microcontroller, the system gathers real-time data from a DHT22 sensor for temperature and humidity and a soil moisture sensor. Based on the soil moisture levels, it automatically controls a water pump via a relay module to maintain optimal soil conditions. The collected data is transmitted to the ThingSpeak cloud platform and visualized through a custom Android application, enabling farmers to monitor field conditions remotely. Additionally, the system connects to Power BI for advanced data analysis and visualization, offering insights into environmental trends and supporting precision farming. This cost-effective and scalable solution aims to reduce water wastage, minimize manual labor, and promote sustainable farming practices through smart automation and real-time decision-making.
Keywords: soil moisture, temperature, humidity, and light intensity.
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