Smart water management framework for irrigation in agriculture

Area of Science:

• Agricultural Engineering
• Environmental Science
• Computer Science

Background:

• Increasing global demand for natural resources strains pure drinking water availability.
• New technologies like smart sensors and cloud computing offer solutions for efficient water management in agriculture and for consumers.

Purpose of the Study:

• To investigate smart Internet of Things (IoT)-based water management systems for efficient farming.
• To present a secure and smart research framework for enhancing existing irrigation systems.

Main Methods:

• Development of a low-budget irrigation model utilizing smart device sensors and cloud communications.
• Implementation of four unique algorithms and water management processing rules.
• Integration of real-time data gathering, monitoring, and alerting capabilities.

Main Results:

• The framework provides automated control of irrigation based on season and climate.
• Alerting mechanisms are in place for device failures and water leakage, with automatic switching to alternative modes.
• Proactive management actions are enabled through real-time data and alerts.

Conclusions:

• The proposed secure and smart framework enhances irrigation systems with cost-effective technology.
• This approach ensures efficient water provisioning for agriculture and consumers.
• The system's automated features and failure alerts contribute to operational stability and water resource preservation.