Water-Efficient Food Production for Hot Climates Through a Self-Learning AI Digital Twin
Durra.ai helps commercial growers optimise irrigation, energy use, and crop performance through a continuously learning AI Digital Twin. By learning from every production cycle, Durra enables smarter decisions that improve agricultural water productivity while reducing resource consumption.
Presenting Durra.ai at Estidamah
Dr. Rabih Ahmad Al-Araj presented our approach to Digital Transformation and AI in Agricultural Water Management at the National Research and Development Center for Sustainable Agriculture (Estidamah) in Riyadh.
Agriculture Needs to Produce More with Less Water
Agriculture is the world's largest consumer of freshwater, accounting for approximately 70% of global freshwater withdrawals and more than 80% in Saudi Arabia. Yet irrigation decisions are still commonly based on fixed schedules rather than continuously adapting to changing weather, crop conditions, and operational data.
In hot-arid and hot-humid environments, this results in unnecessary water consumption, higher energy costs, inconsistent crop performance, and increasing pressure on food security.
As climate change intensifies and water resources become more constrained, improving agricultural water productivity has become one of the most important challenges facing modern agriculture.
>80%
of Saudi Arabia's freshwater withdrawals are consumed by agriculture—requiring adaptive, intelligence-led resource management.
Partner With Us
Durra is working with growers, research institutions, government organisations, and strategic partners to advance the future of water-efficient agriculture.
Whether you're looking to improve farm performance, validate new technologies, or support national water security initiatives, we'd love to explore opportunities to work together.