Research Article

Design and Implementation of an API-Based Precision Agriculture Platform for Smart Farming

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.