Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 9 No 11 (2025): Volume 9, Issue 11, November 2025 | Pages: 87-90
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 11-11-2025
In modern agriculture, the reliance on expensive IoT devices and manual data collection limits the accessibility and efficiency of precision farming for small and medium-scale farmers. The Earth Bloom system introduces an automated, API-based digital platform designed to revolutionize smart farming through data-driven insights and cost-effective implementation. This system integrates open-source weather, soil, and crop APIs with Python-based analytical modules and cloud visualization to deliver real-time agricultural recommendations. It enables farmers to monitor environmental parameters, assess soil fertility, and receive crop suggestions without the need for costly hardware sensors. Earth Bloom adopts a modular architecture using Python for computation, Firebase for data storage, and React.js for interactive dashboards, ensuring scalability and user-friendliness. By replacing traditional IoT dependencies with API integration, the system enhances operational efficiency, reduces costs, and promotes sustainable farming practices. Moreover, it aligns with global digital agriculture initiatives by empowering farmers through accessible, intelligent, and eco-friendly technology solutions.
Precision Agriculture, API Integration, Python, Cloud Computing, Data Analytics, Smart Farming, Sustainable Agriculture, Automation
Prof. P.D.Jadhav, Prof. Sonali L.Vidhate, Akshaya Achariya, Pooja Dhikale, Tanvi Barve, & Priti Chaudhari. (2025). Earth Bloom: API-Based Precision Agriculture System for Cost-Effective Smart Farming. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(11), 87-90. Article DOI https://doi.org/10.47001/IRJIET/2025.911010
This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence