Greensense: Cloud-IoT for smart plant monitoring

Abstract

This paper presents a Cloud-IoT-based system designed for efficient and real-time monitoring of plant health, leveraging Raspberry Pi and Microsoft Azure services. The system integrates low-cost environmental sensors to collect key parameters, including temperature, humidity, and soil moisture. Sensor data is transmitted via Wi-Fi to the Azure cloud platform, where it is processed, visualized, and analyzed using integrated IoT and data analytics tools. Architecture emphasizes modularity, scalability, and remote accessibility, making it suitable for applications in precision agriculture and smart farming. The paper highlights the full data pipeline, including sensor integration, edge processing on Raspberry Pi, secure cloud communication, and real-time monitoring through an Azure-hosted dashboard