A measurement of physical quantities requires the right technique to do it. This is done to obtain the characteristics of the system and an accurate measuring sensor. With accurate measurements, the quality of a sensor or measurement system can be known precisely. Educational method about measuring and calibrating a measuring instrument and control require practical and relevant media to be implemented directly in the field. This article discusses the devising of an Internet of Things (IoT)-based system to measure, read and process the physical quantities of weather conditions. The weather conditions mentioned are; temperature and humidity, intensity of sunlight, rainfall, also wind speed and direction. The reading of these quantities was carried out with analog and digital sensors integrated with the E S P 8266 microcontroller. This sensory system was placed in the field station. The results of reading and processing on the microcontroller are uploaded to the online server. A client system, called a base station, requests periodic sensor data to the server. The results of data acquisition are then processed again in Raspberry Pi media to be displayed in layers and stored in E x c e l form. The results of this study can be used for calibration media analog and digital sensors that can measure the quantities measured by weather stations. Stored data can also be used as a learning medium Measurement analysis and characterization of measuring instruments.