Unmanned Plant Irrigation System Using Iot

Abstract

Agriculture is an important asset to humanity because it relies on water to provide us with food. This paper focusses on building a system which helps the user in monitoring the irrigation process and inform the user in case of emergencies like smoke, animal intruding. Various sensors like soil moisture sensor, fire detection sensor, ultrasonic sensors, LDR sensors etc are incorporated. The water content in the field is detected by means of soil moisture sensor. The motor automatically switches on and off depending on the water content and provides the information to the farmer. MQ135 sensor is used to alert the authority in case of fire accident in the field. Rain based sensor detects the presence of rain and indicates the same, so that the valve for water outlet can be opened. To determine whether there is enough light for the plants, an LDR sensor is employed. Ultrasonic sensors are placed in the corners of the farm to detect any object enters the field. The water quality is checked using a pH sensor, which alerts the user if the water is contaminated or not. DHT-11 sensor monitors the temperature and humidity around the plant surroundings. Deep learning is used to determine whether the plant is healthy or not. Utilizing this setup, the user can automatically irrigate and monitor the plants which in turn increases the growth and yield of the plants.