Saudi mango farm cuts irrigation by 50 percent with AI tech | Arab Ne…

A Saudi mango farm in Rijal Almaa deployed AI-driven soil moisture sensors and leaf image analysis to cut irrigation by 50% whilst boosting flowering rates to 98% and production by 40%. The system uses automated thresholds (50-60% optimal soil moisture, <850ppm salinity) to schedule watering every 2-5 days, with supplementary apps (Plantix, Agrio, PictureThis) for pest and disease detection. If you're building agricultural sensors or plant-health imaging software, Saudi Arabia's water scarcity has just created a proven buyer willing to cut irrigation by half and accept 40% yield gains as proof. The farm's homegrown AI application shows the next move: bundled farm-management SaaS, not point sensors.