IoT-Based Smart Agriculture Monitoring System

Abstract

A farmer manually collects data from the farming fields in a traditional agriculture system. Sometimes these data may not be accurate, and the collection process is tedious and human labor-consuming. Also, during irrigation, water is tremendously wasted. In this paper, an internet of things- based smart agriculture monitoring system has been developed to reduce manual labor and water wastage. In this proposed system, a Node MicroController Unit integrates all of the sensors and sends the sensors' data to an internet of things-based cloud framework known as Adafruit IO. Consequently, Adafruit IO stores all the sensors' data. A soil moisture sensor acquires the moisture data of the farm field. The acquired moisture data is in a percentage value, where 0% means no moisture content, and 100% indicates high moisture content. Depending on the moisture content, a message is sent automatically to the user to turn on/off irrigation. Through Adafruit IO, a user can control the irrigation process remotely. A waterproof temperature sensor is employed to measure soil temperature, and a temperature and humidity sensor measures the temperature and humidity of the surrounding environment of the farming field. An air quality sensor reads the air quality of the farming field and a barometric pressure sensor measures the sudden change of atmospheric pressure in this system, which can help predict rainfall. In this proposed system, a light-dependent resistor measures the amount of light. Finally, the DHT11 sensor gives 20% and 28% errors in temperature and humidity value, respectively.