Farm Boundary Mapping
Primary users: Farmers, cooperative admins
Objective: Create an accurate geospatial farm footprint as the base for every analysis and map.
What the user does
- Draw farm boundaries on the map or enter coordinate points.
- Review shape closure and area estimate before saving.
- Update boundaries when farm expansion or subdivision happens.
What the system does
- Validates geometry so polygons are usable for geospatial processing.
- Computes centroid and area used by downstream data acquisition tasks.
- Stores boundary metadata for monitoring, map overlays, and reporting.
Outputs produced
- Boundary polygon
- Farm centroid
- Area baseline
Decisions unlocked
- Which exact land parcel should be analyzed
- Whether area records match operational reality
Modular Analysis Engine
Primary users: Farm managers, agronomists
Objective: Run focused or full analysis by selecting only the features needed for the decision.
What the user does
- Choose analysis scope (quick check, custom features, or full suitability).
- Submit analysis job and monitor processing status.
- Review per-layer outputs and overall suitability/risk result.
What the system does
- Maps selected features to required data layers (satellite, soil, climate, topography, water, landcover).
- Dispatches asynchronous tasks for each layer and tracks completion state.
- Aggregates outputs into suitability and risk-ready structures.
Outputs produced
- Suitability score and class
- Layer-level diagnostics
- Risk indicators (flood, erosion, drought, pest pressure)
Decisions unlocked
- Whether a field is planting-ready
- Which risk mitigation actions should be prioritized
Monitoring Scheduler
Primary users: Farmers, extension teams
Objective: Track crop and field health continuously instead of relying on one-time analysis snapshots.
What the user does
- Set frequency, index list, and threshold rules.
- Enable alert channels and review new monitoring runs.
- Use generated maps and AI explanations to plan interventions.
What the system does
- Fetches periodic satellite-derived indicators and computes trend deltas.
- Evaluates thresholds and creates alerts for abnormal conditions.
- Generates visual heatmaps and structured insight summaries.
Outputs produced
- Scheduled health snapshots
- Alert events
- Index heatmaps
- AI interpretation notes
Decisions unlocked
- When to irrigate, scout, or inspect specific zones
- Whether stress is improving, stable, or declining
Historical Trends
Primary users: Agronomists, cooperative analytics teams
Objective: Explain performance over time and distinguish temporary noise from persistent issues.
What the user does
- Select category and analysis window.
- Compare current values with recent trend history.
- Cross-check events and lab context where available.
What the system does
- Aggregates time-series observations from historical monitoring storage.
- Computes trend direction and category-level summaries.
- Supports interpretation across vegetation, moisture, chlorophyll, and stress groups.
Outputs produced
- Trend charts
- Category summaries
- Directional interpretation
Decisions unlocked
- Whether current stress is recurring or new
- Which interventions have improved outcomes over time
Land Assessment
Primary users: Farm planners, extension officers
Objective: Evaluate pre-planting readiness and planning suitability before committing inputs.
What the user does
- Run assessment for target period.
- Review component-level strengths and limitations.
- Prioritize zones for preparation or mitigation.
What the system does
- Combines environmental and geospatial layers into readiness-oriented outputs.
- Applies scoring and classification rules for planning readability.
- Persists assessment outputs for later comparison.
Outputs produced
- Land readiness profile
- Suitability summary
- Planning-oriented recommendations
Decisions unlocked
- Go/no-go timing for planting
- Which fields need remediation before planting
Credit Score
Primary users: Lenders, cooperative finance teams
Objective: Translate agronomic performance and risk evidence into financing-ready indicators.
What the user does
- Generate score after fresh monitoring or assessment updates.
- Inspect score components and risk flags.
- Use supporting evidence in financing conversations.
What the system does
- Combines operational, monitoring, and risk-derived signals.
- Calculates standardized score bands for easier interpretation.
- Stores score history for audit and trend review.
Outputs produced
- Credit readiness score
- Component breakdown
- Evidence trail
Decisions unlocked
- Financing eligibility and terms discussions
- Actions needed to improve score quality
Report Generator
Primary users: All audiences
Objective: Convert technical outputs into shareable, decision-ready documents.
What the user does
- Generate report from analysis or monitoring context.
- Review summary, maps, and recommendations.
- Export PDF or DOCX for stakeholders.
What the system does
- Collects relevant maps, metrics, and interpretation blocks.
- Formats outputs into executive and technical narrative sections.
- Builds export files for operational review and partner communication.
Outputs produced
- PDF report
- DOCX report
- Map and metric appendix
Decisions unlocked
- Operational planning alignment
- Partner and lender communication