IoT and Cloud Based Sustainable Smart Irrigation System

Abstract

This paper addresses the concerns in irrigation mechanisms and employs a Sensors and cloud-based platform to monitor and control an irrigation system. In order to monitor the soil’s moisture level in real time, moisture sensors are placed in the field. These sensors wirelessly provide data to the NodeMCU, which processes and relays the information. The NodeMCU gathers the sensor data and processes it, considering standard deviations and crop-specific parameters. Using this information, the system starts the water pump and opens the solenoid valves to begin the irrigation operation. The NodeMCU coordinates with these valve-opening devices via wireless communication. In addition, the system uses online weather prediction data to provide more precise watering schedule optimisation. The system dynamically modifies the irrigation schedule based on analysis of weather patterns, evapotranspiration rates, and crop water needs to save water during times of rain or high humidity. The solution makes use of cloud-based platforms to improve scalability and accessibility. The gathered sensor data and command instructions are safely transferred to the cloud server. This allows farmers to remotely check on and adjust the irrigation system by means of the web or mobile apps. In addition, data analytics methods may be used to infer information and provide suggestions for improved methods of water management and crop care. In conclusion, the Internet of Things (IoT) NodeMCU smart irrigation system provides an automated and intelligent approach to water management in agriculture. Water is saved, crop yields are boosted, and sustainability is enhanced thanks to the capacity to irrigate precisely based on real-time soil moisture data, weather predictions, and crop needs.

Keywords

• smart irrigation
• internet of things (iot)
• sensors
• cloud computing
• water conservation
• user interface