Machine Learning Based Environment Monitoring and Wind Power
Our farming system is fully dependent on the weather. Climate observation may be crucial in a large greenhouse or inside farming facilities. It's also a sensor-based analysis or tracking of air quality using a system learning machine that takes real-time data and then predicts future recommendations. This assignment was created to forecast weather factors such as humidity, temperature, gases, and air pressure. The interior temperature is being checked. The soil moist degree is monitored and regulated during this project to maintain the extent. Outside of the farm, rain detection is hired. When it identifies pure water, it notifies the server.
Design, prepare a model of Hardware, programing and documentation