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AGRICULTURE
accepted
AI GeneratedAquaCrop Intelligence: AI-Optimised Precision Deficit Irrigation to Cut Agricultural Water Use by 40%
Description
Agriculture uses 70% of global freshwater but wastes 50–60% through over-irrigation. AquaCrop Intelligence combines $12 soil moisture sensors, satellite ET mapping, and AI crop-stress modelling into an open-source decision system telling farmers exactly when and how much to irrigate — running on a $30 Android device or USSD feature phone.
A cooperative water pricing model (shared aquifer zone budgets) creates economic incentives to conserve. Evidence from pilots in India, Morocco, and California shows 35–50% water reduction with equal or better yields. 2M farmers reached in 3 years through existing extension networks at $15/farmer/year.
Implementation Pathway
Build & Validate
12 months
- • AquaCrop v1.0 open-sourced
- • 50,000 farmers in 5 pilot basins
- • 35% water reduction validated
- • USSD fallback tested
Extension Rollout
18 months
- • 500K farmers across 10 basins
- • Cooperative water pricing in 5 countries
- • Aquifer depletion rate trends measured
Scale
24 months
- • 2M farmers, 15 countries
- • 40% water reduction baseline achieved
- • Platform adopted by FAO extension programme
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Evaluation Scores
Technical7.0
Economic6.0
Social/Political6.0
Scalability7.0
Values Aligned7.0
Composite Score
6.6
Addresses Challenges
Metadata
Evaluations:3
Version:1
