Analysis of Gas in Plant Using IOT

Abstract

The integration of Internet of Things (IoT) technologies into agriculture has created new opportunities for monitoring the environment and managing crops. This project focuses on analyzing gases in plant environments using IoT-enabled sensors to enhance plant health monitoring, spot harmful gases, and improve greenhouse conditions. By using a network of gas sensors, such as CO₂, O₂, NH₃, and VOC sensors linked to microcontrollers and wireless modules, we collect real-time data on atmospheric gas levels and send it to cloud platforms. This data is then processed and reviewed to identify patterns, anomalies, and potential risks to plant growth. The system allows for the early detection of gas imbalances. This capability helps farmers and researchers make timely decisions that can boost crop yields and prevent damage. The proposed solution aims to support sustainable agriculture through automated, data-driven gas analysis, contributing to smarter and more efficient farming practices.