GIS-RUN PRECISION AGRICULTURE
Convert the cost of compliance into a permanent farm-intelligence asset.
The same farm registry and parcel database that supports EUDR evidence also powers crop-specific variability management, field inspection routing and expert-validated intervention planning.
PRECISION AGRICULTURE WORKFLOW
Eight-step field intelligence cycle.
🌱
Crop / Clone Profile
Establish variety-specific yield baseline, phenological calendar, susceptibilities and management parameters.
🗺️
Farm Baseline
Map terrain, soil types, shade cover, water features and existing management zones using GIS.
🛰️
Imagery Screening
Periodic remote sensing to detect change, anomaly or stress signals across the production landscape.
📍
Targeted Field Evidence
GPS-routed field inspection focused on flagged zones — observations, photographs and samples.
🤖
AI-Assisted Pre-Diagnosis
AI organizes field evidence, suggests hypotheses and pre-populates the expert review record.
👩🌾
Expert Validation
Qualified crop expert reviews evidence, confirms or rejects hypothesis and approves intervention plan.
⚗️
Measured Outcome
Post-intervention monitoring records response, validates effectiveness and updates the farm baseline.
📊
Wood
Stand Inventory Canopy Assessment Harvest Planning Regeneration Monitoring
MANAGEMENT ZONE CLASSIFICATION
GIS-delineated zones focus resources where they matter.
Within-field variability is classified so field inspection, expert review and input application are spatially targeted — not broadcast uniformly across the farm.
Zone A — High Productivity
Optimal conditions; maintain inputs
Zone B — Variable Yield
Inconsistent performance; targeted diagnosis
Zone C — Stress Detected
Remote-sensing anomaly; field inspection needed
Zone D — Low Productivity
Consistent underperformance; expert intervention
Zone E — Replanting Priority
Old stand / failed trees; replanting assessment
MANAGEMENT ZONE CLASSIFICATION
🛰️ Remote sensing
Zone C flagged — anomaly in Parcel 003
📍 Field routing
3 inspection points assigned to agronomist
📱 QField collection
14 photos, 2 observations, 1 sample collected
👩🌾 Expert review
Pending: J. Reyes — CPB infestation hypothesis
🤖 AI pre-diagnosis
Consistent with CPB damage pattern, 82% conf.
🔬 Lab confirmation
Sample submitted — result expected 2026-09-10
⚗️ Intervention plan
Awaiting expert approval before proceeding
📊 Outcome measure
Not yet started — post-intervention phase
DEMONSTRATION / SIMULATED DATA — Remote sensing and AI pre-diagnose; qualified experts confirm and approve every intervention.
MANAGEMENT ZONE CLASSIFICATION
GIS-delineated zones focus resources where they matter.
Terrain & Soil
Vegetation
Climate
Terrain & Soil
COMMODITY INTELLIGENCE
Know what can be supplied, where it is located and which market can use it.
SUPPLY MODEL
Productive Area × Expected Yield × Cropping Frequency − Losses − Existing Commitments = Expected Marketable Supply