Data logging involves recording measurements from sensors over time. Sensors detect physical quantities like temperature, light, sound, pressure, humidity, and motion. The advantages of data logging include monitoring changes over time and identifying patterns or anomalies. Control systems use sensors as inputs to processors that control output devices, with examples including thermostats and traffic lights. Weather forecasting relies on sensors to measure conditions and information and communication technologies have both benefits and drawbacks for weather prediction.