Agent-based simulation · olive-farming scenario · crop-independent model
Comparing digital incentive mechanisms for sustainable agricultural practices
AgriNudgex simulates heterogeneous synthetic olive growers who decide every season whether to maintain inter-row ground cover, and compares incentive mechanisms S0–S3 at equal actual expenditure. Every figure is computed from seeded, fully reproducible simulation runs — no farmer data are observed or collected.
RQ1 · Effect of mechanisms on simulated adoption
RQ2 · Cost-effectiveness and reward-distribution equity
RQ3 · Sensitivity to farmer characteristics, budgets and behavioural assumptions
Public demonstration
Run small designs (N ≤ 150, ≤ 20 repetitions) without an account. Results are temporary, visible only in your browser and deleted after 24 hours.
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Researcher accounts
Approved researchers run full experimental and sensitivity protocols, keep experiments private, compare and import configurations, and export complete datasets.
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Model
v2.0.0
SYNTHETIC data only Outputs are conditional on documented assumptions and do not show real-world effectiveness.
Public example experiments
Read-only experiments published by the platform administrators.
| # | Name | Model | Design | Actions |
|---|---|---|---|---|
| 1 | Example: v2 quick demonstration (olive ground cover) | Model v2.0.0 | 1 cell(s) × 20 reps · N = 100 | Results |