01 · PHYSIOLOGY
Model the crop’s development
Follow plant development and fruit production through the growing cycle. Adapt model parameters to the plant species and production system using the physiological structure of the model.
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PLANTAR · GREENHOUSE HORTICULTURE
Greenhouse Crop Simulation
Tomato digital twin
Simulate greenhouse crop production with physiologically realistic models of plant development, environmental response, and water and nutrient availability. The tomato digital twin is the example shown here.
A science-based crop simulation and AI optimization platform for agricultural production.
- Featured example
- Tomato
- Additional application
- Pepper
Pepper is an additional greenhouse application area. Crop-specific model availability, adaptation, and validation should be confirmed with the ALAIVE team.
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02 · COUPLED PLANT–SOIL DYNAMICS
Adapt the scenario to your farm
Represent soil or substrate characteristics, starting water and N/P/K availability, and the environmental conditions relevant to your production system. Crop demand and nutrient uptake interact with soil water and nutrient dynamics.
03 · PREDICTION & OPTIMIZATION
Explore management strategies
Evaluate irrigation and nutrient application schedules throughout the growing cycle. Explore alternative fertigation strategies and their predicted production under greenhouse conditions and resource constraints.
From scenario setup to production comparisons
PLANTAR brings farm-specific configuration, animated crop development, production plots, fertigation plans, and simulation reports together. The screenshot above is a still app preview; this webpage does not run a live model or optimizer.
Explore the fixed illustrative examples to compare irrigation and NPK allocation with production outcomes. Their hypothetical values are not measured field results or validated PLANTAR predictions. Potential gains depend on crop and field conditions.