Earth Bloom: API-Based Precision Agriculture System for Cost-Effective Smart Farming

Prof. P.D.JadhavHead of the Department, Department of MCA, MET’s Institute of Engineering, Nashik, IndiaProf. Sonali L.VidhateAssistant Professor, Department of MCA, MET’s Institute of Engineering, Nashik, IndiaAkshaya AchariyaMCA Student, MET’s Institute of Engineering, Nashik, IndiaPooja DhikaleMCA Student, MET’s Institute of Engineering, Nashik, IndiaTanvi BarveMCA Student, MET’s Institute of Engineering, Nashik, IndiaPriti ChaudhariMCA Student, MET’s Institute of Engineering, Nashik, India

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

doi Logo doi.org/10.47001/IRJIET/2025.911010

Abstract

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.

Keywords

Precision Agriculture, API Integration, Python, Cloud Computing, Data Analytics, Smart Farming, Sustainable Agriculture, Automation


Citation of this Article

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

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