Analyzing the Relationship of Carbon Dioxide Level with Physical Parameters in IoT-based Greenhouse Monitoring System

The study presents a comprehensive solution for monitoring and optimizing environmental conditions within a greenhouse using Internet of Things (IoT) technology. The greenhouse effect is critical for the cultivation of crops, and maintaining optimal parameters such as humidity, temperature, carbon dioxide level, atmospheric pressure is paramount for efficient plant growth. This system employs a network of sensors connected through IoT to collect real-time data. The proposed system comprises a sensor array strategically placed within the greenhouse to continuously measure key environmental parameters. These sensors transmit data wirelessly to a centralized IoT gateway, which processes the information and uploads it to a cloud-based platform for storage and analysis. The collected data is further analyzed and the carbon dioxide print with respect to day-to-day temperature, humidity and atmospheric pressure present inside the greenhouse is determined. This study provided insights into optimizing crop cultivation through CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> level analysis.