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@article{177595,
        author = {S.Rajesh and Sivaranjani R and Tharshna R and Theivasri D},
        title = {IoT Based Weather Forecasting and Crop management System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {1096-1100},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177595},
        abstract = {The goal of this project is to create an economical, IoT-enabled weather forecasting and crop management system based on the ESP32 microcontroller. The DHT11/DHT22 temperature and humidity sensors, a soil moisture sensor, and a rain sensor are among the several sensors that are included into the system. For real-time monitoring, information is sent over Wi-Fi to the cloud and shown on an LCD screen. The automated decision-making based on real-time data made possible by the suggested approach guarantees increased agricultural efficiency. This IoT-based strategy provides a scalable and affordable solution for precision farming, smart city projects, and environmental monitoring.},
        keywords = {IoT, ESP32, Weather Forecasting, Crop Management, Automation, Smart Irrigation, Wireless Sensor Network, Environmental Monitoring, Cloud Integration, Precision Farming.},
        month = {May},
        }