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Saudi mango farm cuts irrigation by 50 percent with AI tech
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Fusion42 · 16 July 2026 · Fusion42 review
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.
This Wire brief sits within Fusion42's coverage of Climate Tech.
◆ ◆ The Wire takeaway
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.
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1 source · 16 Jul 2026
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