Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{180830,
        author = {Kanduri Deepika and Nidamanuri Bhanu Prasad and Muramalla Manikanta and Chincheti Swathi and D. Matru},
        title = {Smart Agriculture Monitoring System using ESP8266, Android app for farmer alerts and POWER BI for crop and environmental data analytics},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {2987-2992},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180830},
        abstract = {This project introduces an innovative approach to modernize agriculture using IoT and data analytics, addressing critical challenges in crop management and environmental monitoring. Leveraging an ESP8266 microcontroller, the system collects real-time data from sensors measuring soil moisture, temperature, humidity, and other parameters. This data is transmitted to an Android application that provides farmers with instant alerts for timely decision-making. A "data-driven insights" methodology integrates Power BI, enabling advanced analytics and visualization of crop health and environmental conditions. By employing predictive modeling and trend analysis, the system empowers farmers to optimize resource usage, enhance yield, and mitigate risks. This work aims to transform agricultural practices, offering a scalable and efficient solution to boost productivity and ensure sustainability in farming.},
        keywords = {IoT, Smart Agriculture, ESP8266, Farmer Alerts, Android Application, Environmental Monitoring, Crop Management, Power BI, Data Analytics, Predictive Modeling, Real-Time Sensor Data.},
        month = {June},
        }