"Connecting data to the roots."
Transforming fertigation from static planning into a continuously adaptive control system — bridging the gap between digital agronomy and physical field execution.
Fertilization decisions are still based on static plans, intuition, and partial data. Farmers lack real-time visibility into what each crop actually needs. The result: rising costs, massive waste, and environmental damage.
Cost Increase
Fertilizer costs have surged in the past decade, squeezing farm margins.
Input Waste
Half of applied fertilizer is lost to leaching or runoff before crops absorb it.
Land Damage
Annual global cost of nutrient leaching — polluting soil, water, and ecosystems.
Soil, weather, and plant sensors report what is happening in the field, alongside its full fertilization history.
Unlike tools that only plan by growth stage, GAIA provides a tailored recommendation for each nutrient, at every fertigation event.
A multi-tank mixing system executes the recipe with surgical accuracy through the drip line. Then the field is monitored again, closing the loop.
Why now: advances in low-cost sensors, AI-driven agronomy, and precision irrigation make real-time adaptive fertigation possible at scale.
Less Fertilizer
Typically 10–30% reduction in fertilizer use
Higher Yield & Quality
Better crop consistency
Reduced Pollution
Less nutrient runoff
PHASE 1: POC
Pilot with Hazera. Validate recommendation engine. Collect field feedback.
PHASE 2: MVP & FIELD TESTS
Closed-loop automated dosing. Multi-field testing & iteration.
PHASE 3: SCALE
Commercial deployment & global expansion.
Elnatan Golan — CSO
Ph.D in Agriculture & Plant Nutrition
Tuvia Kochavi — CTO
AI & Optimization Systems Engineer