Optimizing Onion Crop Management: A Smart Agriculture Framework with IoT Sensors and Cloud Technology

Abstract

Smart agriculture, fueled by the integration of Internet of Things (IoT) and cloud technology, has revolutionized modern farming practices. In this study, we propose a step-by-step framework for optimizing onion crop management using IoT sensors and cloud-based solutions. By deploying various IoT sensors, including soil moisture, temperature, humidity, and aerial drones, essential data about the onion crops is collected and transmitted to a central data hub. Optional edge computing devices enable real-time data processing, minimizing latency and bandwidth usage.The collected data is aggregated and stored securely on a cloud platform, which facilitates advanced data analysis and insights. Utilizing machine learning algorithms, the cloud platform can provide valuable information about the onion's growth patterns, health status, and growth trajectory. Farmers can easily access this information through a user-friendly dashboard, accessible via web or mobile applications.Automated alerts and notifications enable timely intervention, notifying farmers about any deviations from optimal conditions, such as low moisture levels or pest infestations. The system's predictive capabilities allow for precision irrigation and nutrient management, optimizing resource usage and improving crop health.The accumulated historical data offers a wealth of information, enabling the identification of trends and the prediction of growth patterns for future planting seasons. Throughout this process, data security and privacy measures are prioritized, with encrypted data transmission and storage to protect farmers' sensitive information.The integration of IoT and cloud technology provides an efficient and effective solution for monitoring onion crop growth. The proposed framework offers farmers valuable insights, improves productivity, and promotes sustainable agricultural practices.