A Microservices-based Framework for Scalable Data Analysis

This study introduces a microservices-based framework designed for scalable data analysis in agriculture, leveraging the modularity and flexibility of microservices architecture. By integrating IoT, this framework offers enhanced data processing capabilities, enabling the analysis of diverse agricultural data while ensuring scalability, fault tolerance, and efficiency. It addresses challenges such as data integration, standardization, and security, providing a robust solution for the agricultural sector. The framework aims to transform agricultural practices by offering real-time insights and improving decision-making, with further research and real-world validation required to assess its full impact.