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IoT Based Precision Irrigation System
Author Name : Mr. K. K. Raj Kumar, Miss. Seetha, Miss.Vishnu Priya, Miss. Swetha, Miss. Alfia Sherly
DOI: https://doi.org/10.56025/IJARESM.2023.115231666
ABSTRACT
An IoT-based smart agriculture monitoring and automatic irrigation system are proposed by using ESP8266 Node MCU. Multiple sensors like capacitive soil moisture sensors are fixed inside to measure moisture content present in the soil which will help in the auto-detection of water requisition in the soil. As water supply is becoming scarce in today’s world there is an urgency of adopting smart ways of irrigation. The project describes how irrigation can be handled smartly using IOT. This project aims at saving time and avoiding problems like constant vigilance. It also helps in conserving water by automatically providing water to the plants/field depending on the water requirements. This system can also prove to be helpful in agriculture, parks and lawns. The objective of this system is to detect the moisture content of the soil and depending on it sprinkle water .This entire information will be sent to the user’s mobile phone. Keywords: Soil moisture sensors, IOT, Arduino, Android, Micro controller Automation of farm activities can transform agricultural domain from being manual and static to intelligent and dynamic leading to higher production with lesser human supervision. This paper proposes an automated irrigation system which monitors and maintains the desired soil moisture content via automatic watering. Microcontroller ATMEGA328P on arduino uno platform is used to implement the control unit. The setup uses soil moisture sensors which measure the exact moisture level in soil. This value enables the system to use appropriate quantity of water which avoids over/under irrigation. IOT is used to keep the farmers updated about the status of sprinklers. Information from the sensors is regularly updated on a webpage using GSM-GPRS SIM900A modem through which a farmer can check whether the water sprinklers are ON/OFF at any given time. Also, the sensor readings are transmitted to a thing speak channel to generate graphs for analysis.