Wireless Sensor Network Based Greenhouse Monitoring Using Cloud Integration with Data Analytics

Abstract

This research work describes a Wireless Sensor Network (WSN) for monitoring different conditions of a greenhouse. Plant development requires careful temperature and humidity management in greenhouses. Manual monitoring is time-consuming and error-prone. The proposed WSN solves these issues. Each sensor node in the greenhouse has a microprocessor, wireless connection module, and temperature and humidity sensors. Nodes deliberately positioned to gather data from different areas provide a complete greenhouse perspective. A central base station aggregates and visualizes data from sensor nodes through wireless communication. Sensor nodes use strong communication protocols and data aggregation methods for accurate, real-time monitoring. Zigbee or Bluetooth low-power wireless communication protocols are used to send data to the base station to save energy and prolong network lifespan. The base station stores, processes, and analyzes data. Data is shown and analyzed using a simple interface. A web-based or mobile app allows remote greenhouse monitoring and control. Users get real-time warnings of important temperature or humidity variations to take immediate action. WSN greenhouse monitoring outperforms manual approaches. It monitors greenhouse temperature and humidity in real-time, allowing precise control and changes for ideal growing conditions. Wireless connections provide node placement freedom and lower installation costs. The WSN for greenhouse monitoring is a dependable and effective agricultural solution. It boosts productivity, lowers personnel costs, and allows real-time data-driven decision-making. This research advances precision agriculture and shows WSNs can improve greenhouse management and crop production.