An IoT-based Intelligent Irrigation and Weather Forecasting System

Abstract

Abstract: The most crucial ingredient in agriculture is water. The amount of water that plants require must be provided to them. However, growers alternate between giving their plants more water than they truly need and giving them less and partly because they become over-watered due to meteorological circumstances like unexpected rainfall. Methodology: We employ an IoT-based intelligent irrigation system to get around this problem. It includes a centrifugal pump, a motor driver board, and a soil moisture sensor with YL69 probes. When the soil moisture level drops, the pump automatically delivers water to the plants with minimal human involvement. The electrical conductivity theory is how the sensor for soil moisture functions. A DHT11 sensor and a barometer, which provide information on the local temperature, humidity, and atmospheric pressure, are both parts of the weather monitoring system with the help of this, farmers can forecast the local weather and plan their irrigation accordingly. Results: The Thing Speak API enables us to continually monitor information from a computer or mobile device, and the ESP8266 module links the complete system to the internet. Through this approach, water waste is reduced, and irrigation efficiency is increased while crop health and quality are preserved. Conclusion: Overall, this research demonstrated how the Internet of Things-based intelligent irrigation systems may enhance agricultural water management. By combining soil moisture monitoring, weather monitoring, and autonomous management, we may develop irrigation techniques that are more precise, effective and patent leading to higher crop yields and sustainable agricultural practices. method: The microcontroller Arduino UNO was used to develop the Smart Irrigation system for this automated system, which is crucial. The microcontroller, for instance, is connected to temperatures and soil moisture sensors. Hence, the result from such a sensor is sent to the Arduino UNO. The microcontroller receives inputs from these sensors and creates the required output and controls the water pump based on the soil and atmospheric conditions. This soil moisture sensor measures soil moisture as voltage, and to better interpret the moisture as a percentage, this data is mapped between 0 and 100.