01 · PHYSIOLOGY
Model the crop’s development
Plant development, nutrient uptake, and fruit production are represented through physiological processes. Targeted observations help adjust model parameters to the crop species and production conditions.
← Explore Models
PLANTAR · CITRUS PRODUCTION
Citrus Simulation
Lemon digital twin
Simulate citrus production with physiologically realistic plant models coupled to physically based soil water and nutrient dynamics. The lemon digital twin is the example shown here.
A science-based crop simulation and AI optimization platform for agricultural production.
- Featured example
- Lemon
- Additional application
- Orange
Orange is an additional citrus 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
Configure soil properties, initial soil water and N/P/K availability, and local environmental conditions for individual farm parcels. Plant uptake and soil dynamics interact within the crop digital twin.
03 · PREDICTION & OPTIMIZATION
Explore management strategies
Evaluate irrigation and separate N, P, and K schedules against seasonal crop requirements and resource constraints. Compare predicted production across candidate strategies using the PLANTAR platform.
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.