To achieve monitoring, the Smart Environmental System relies on Raspberry Pi along with DHT11. sensors to continuously track atmospheric parameters Thermal condition and humidity, aiming to support sustainable living and enhance decision-making in various sectors. Traditional environmental monitoring methods rely heavily on manual data collection and laboratory testing, which are often time-consuming, less efficient, and prone to human error. The proposed approach automates the process by integrating low-cost IoT hardware with real-time data logging and analysis capabilities. By collecting, storing, and transmitting environmental data, the system ensures accuracy, reduces human intervention, and enables remote access to information. This solution can be deployed in homes, industries, agriculture, and smart cities, where maintaining environmental balance and predicting trends is crucial. Overall, the system provides an affordable, scalable, and user-friendly mechanism for real-time environmental monitoring, supporting modern requirements for sustainability and public safety.
Saroo Raj R B (Wed,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: