Step-by-step training for farmers, agronomists, and cooperative leaders. Each module explains what the feature does, how to use it, and practical tips for getting the most value. Work through the modules in order or jump to the section you need.
Define your farm boundary so the satellite can locate and monitor it. Three methods are available: GPS survey (walk the perimeter with your phone), draw on map (tap corners on a satellite image), or enter manual coordinates from a land survey.
Step-by-Step
Open Farms and tap Add New Farm.
Choose GPS Survey, Draw on Map, or Manual Coordinates.
GPS Survey: walk the boundary, tapping Record Point at each corner. Stand still 2-3 seconds for best accuracy. Tap Close Boundary when you return to the start.
Draw on Map: navigate to your farm on the satellite view and tap each corner. Close the polygon by clicking the first point again.
Manual Coordinates: enter coordinates in DD, DMS, or UTM format.
Review the shape and calculated area, then enter farm name, location, and crop type.
Save the farm. The system validates the polygon, calculates area, and stores the boundary.
Tips
GPS accuracy below 5 meters is ideal. Avoid surveying near tall buildings or dense tree canopy.
You need at least 3 points for a valid boundary.
GPS survey works offline on mobile. Map tiles are cached locally.
An inaccurate boundary leads to inaccurate monitoring. Take time to get it right.
Module 2
Land Assessment and Suitability Analysis
All users
Before planting, assess whether your land suits your chosen crop. The system collects satellite, climate, soil, topography, water proximity, and land cover data, then scores each factor using Multi-Criteria Decision Analysis (MCDA).
Step-by-Step
Open your farm detail page and click Run Analysis.
Select the crop you intend to plant (rice, maize, cassava, yam, etc.).
Click Start Analysis. The system fetches data from 6 sources in parallel.
Wait for processing (typically 5-15 minutes).
Review the overall suitability score and classification: Highly Suitable (80-100), Suitable (60-79), Marginally Suitable (40-59), or Not Suitable (0-39).
Examine individual factor scores to identify limiting factors.
Check the top-5 crop recommendations if your chosen crop scores poorly.
Scoring weights are crop-specific. Rainfall (20%), temperature (15%), soil type (15%), drainage (15%), slope (15%), soil pH (10%), water proximity (10%) are the defaults.
If Marginally Suitable, check which factors score lowest and address them (lime for pH, drainage for waterlogging, etc.).
Run a new analysis before each planting season or after major weather events.
For agronomists: compare analyses across farms to prioritize advisory visits.
Module 3
Crop Monitoring
All users
Track crop health continuously through the growing season using Sentinel-2 satellite imagery. The system computes 13+ vegetation indices and generates AI-powered health assessments with heatmap visualizations.
Step-by-Step
Open your farm and click Monitoring or Set Up Monitoring.
Choose monitoring frequency: daily, weekly (recommended), biweekly, or monthly.
Select which indices to track and set alert thresholds.
Save the schedule. The system will automatically fetch data on each scheduled date.
Review each monitoring result: health status, trend direction, heatmaps, and AI explanation.
Open Historical Analysis for multi-week trend views across 7 categories.
Tips
NDVI is the core metric: 0.7-1.0 = very healthy, 0.5-0.7 = healthy, 0.3-0.5 = moderate/early growth, below 0.3 = stressed or bare soil.
Cross-reference indices: low NDVI + low NDMI = drought. Low NDVI + normal NDMI = possible disease. Low chlorophyll + normal NDVI = early nutrient deficiency.
Cloud cover above 70% reduces accuracy. Wait for the next satellite pass (5 days).
Consistent weekly monitoring builds the trend data needed for yield prediction and credit scoring.
Module 4
Disease Detection and Management
All users
Identify crop diseases by photographing affected plants. The AI returns a diagnosis, severity level, and a full treatment plan with product names, dosage, cost estimates, and application schedules. A 7-day spread prediction model helps you prioritize scouting.
Step-by-Step
Open the Scan tab on mobile (or Farm > Disease on web).
Point your camera at the affected leaf, stem, or fruit and take a clear photo.
The AI returns: disease name, confidence score, severity, and affected area percentage.
Check the 7-day spread prediction to see which areas of your farm are at risk next.
Follow AI-generated scouting assignments with GPS navigation to priority zones.
After treating, log the treatment as a farm event to track effectiveness.
Validate or correct the AI diagnosis to improve future accuracy.
Tips
Photograph clearly: get close, avoid shadows, include healthy tissue for contrast.
Disease scans work offline on mobile. Photos queue and sync when connectivity returns.
Check the Outbreaks page to see if diseases are spreading regionally.
For drone users: upload orthomosaic imagery for farm-wide disease mapping.
Module 5
Weather Advisories and Climate Risk
All users
Receive daily AI-generated weather advisories tailored to your crop and growth stage. The system also models climate change impacts through 2050-2080, with adaptation recommendations.
Step-by-Step
Open Farm > Weather Advisory to see today's guidance.
Review the 10-day forecast: temperature, rainfall, humidity, wind, soil moisture.
Read AI recommendations (e.g., 'Delay fertilizer, heavy rain in 48 hours').
For long-term planning, open Farm > Climate Projections.
View baseline, near-term (2021-2050), and mid-term (2051-2080) projections.
Review AI adaptation recommendations (variety changes, planting date shifts, infrastructure).
Tips
Advisories are generated daily at 5:30 AM UTC and delivered via in-app, email, and WhatsApp.
Use the WhatsApp bot: send 'weather' or '1' for a quick advisory summary.
Climate projections help agronomists advise on long-term crop and infrastructure decisions.
Module 6
Yield Prediction and Growth Tracking
All users
Predict expected harvest using peak-NDVI regression with crop-specific coefficients. Track crop development through growth stages (emergence, vegetative, reproductive, maturity) with alerts for stunted growth or harvest readiness.
Step-by-Step
Open Farm > Yield Prediction to see current projected yield (kg/ha).
Review the confidence interval and revenue estimate at current market prices.
Compare your prediction to the regional peer average (requires 5+ farms).
Open Farm > Growth Trajectory to view current growth stage and timeline.
Check growth velocity: is the crop developing faster or slower than expected?
Monitor days-to-maturity estimate and watch for senescence onset alerts.
Tips
Yield predictions become most accurate 4-6 weeks before harvest, after peak vegetative stage.
A stalled growth alert means the crop has stopped progressing. Investigate immediately.
Agronomists: compare growth velocity across farms to spot underperformers early.
Module 7
Reports and Harvest Certificates
All users
Generate detailed analysis reports with AI narrative and export as PDF or DOCX. Request verified harvest certificates with unique certificate numbers, QR codes, and public verification URLs.
Step-by-Step
Go to Analyses, select a completed analysis, and click Generate Report.
Review the AI-generated executive summary, factor breakdowns, and recommendations.
Export as PDF (for printing/sharing) or DOCX (for editing).
For certificates: go to Farm > Certificates and click Request Certificate.
Download the PDF certificate with its unique number and QR code.
Share the public verification URL with buyers, lenders, or insurers. No login required.
After harvest, log actual yield, revenue, and price per kg to build your track record.
Tips
Have a PDF report ready before meetings with banks, cooperatives, or buyers.
Certificates are valid for 1 year and include satellite-verified area, health grade, and predicted yield.
Logging harvest outcomes strengthens your credit score in future seasons.
Module 8
Insurance and Credit Scoring
All users and lenders
Enroll in parametric insurance (automatic payouts when satellite/weather thresholds are breached) or Multi-Peril Crop Insurance (custom coverage from 9 components). Build an agricultural credit score (0-100) from 7 weighted factors.
Step-by-Step
Go to Farm > Insurance to browse available policies.
Parametric: select a policy, review trigger conditions and premium, click Enroll.
MPCI: choose which perils to cover (drought, flood, heat, pest, etc.), get a premium quote, confirm.
Monitor active policies and track any auto-triggered claims.
For credit: go to Farm > Credit Score to view your composite score and factor breakdown.
Review the 7 factors: vegetation health (25%), yield potential (20%), farm management (15%), soil health (15%), climate risk (10%), farm profile (10%), data quality (5%).
To improve: monitor consistently, log events, enter lab tests, and maintain healthy crops.
Share your score with lenders through the Partnerships feature.
Tips
Parametric insurance pays automatically. No claims paperwork or adjuster visits.
Active monitoring and event logging are the fastest ways to improve your credit score.
Agronomists: help farmers understand which score factors are limiting and how to address them.
Module 9
Flood Monitoring
All users
Sentinel-1 radar detects water on your farm even through clouds. The system tracks flood events, estimates crop damage, projects recovery time, and generates AI drainage recommendations with 3D terrain visualization.
Step-by-Step
Go to Farm > Flood Events to view the flood timeline.
Review flood score (None to Critical), extent percentage, and waterlogging duration.
Check crop damage estimate: Minimal, Moderate, Severe, or Total yield loss.
View recovery tracking: expected recovery days and current status.
Review AI drainage recommendations identifying priority areas.
Use the 3D terrain viewer to understand water flow patterns.
Tips
SAR radar works through clouds, so flood detection is reliable even in heavy rain.
Flood data is used as satellite evidence for insurance claims.
Regional context shows how many nearby farms are also affected.
Module 10
Farm Events and Field Observations
All users
Log farming activities (planting, fertilizing, spraying, harvesting) and field observations to enrich AI recommendations. Enter lab test results for soil/tissue analysis. All logged data contributes to your credit score.
Step-by-Step
Go to Farm > Events > Log Event (web) or tap Log Event (mobile).
Enter date, product details, quantities, and optional notes or photos.
For field observations: record crop health assessment, water status, canopy coverage (GPS-tagged).
For weather observations: enter manual rainfall, temperature, or humidity readings.
For lab tests: enter N, P, K, pH, micronutrients (Fe, Zn, Mn, Cu, B) with lab name and sample ID.
Tips
Every logged event improves your Farm Management score (15% of credit score).
Lab test data calibrates satellite-derived estimates and enables the Nitrogen and Soil pH historical categories.
Mobile forms work offline. Data queues and syncs automatically.
Module 11
Partnerships and Data Sharing
All users
Control who accesses your farm data through consent-based partnerships. Generate time-limited codes for lenders and insurers, approve or reject partnership requests, and revoke access at any time.
Step-by-Step
Go to Farm > Partnerships.
Click Generate Code to create a time-limited sharing code.
Share the code with your lender, insurer, or buyer.
When a partner sends an access request, review it and click Approve or Reject.
View all active partnerships and their access status.
Click Revoke on any partnership to immediately terminate access.
Tips
No partner can see your data without your explicit approval.
Partnerships enable credit scoring and insurance enrollment through the Partner Portal.
You can have multiple active partnerships with different organizations.
Module 12
Cooperative Management
Cooperative leaders, tenant admins
Onboard farmers in bulk via CSV upload, send invitation links, manage teams, and track cooperative-wide analytics. Includes audit logging and compliance export.
Step-by-Step
Go to Cooperative > Bulk Upload and download the CSV template.
Fill in farmer details: name, email, phone, village, GPS coordinates.
Upload the CSV. Use Dry Run mode first to validate without committing.
Track processing status in Upload History.
To invite individuals: go to Invitations > Invite Farmer, generate a link or send by email.
Monitor the cooperative dashboard for total farmers, farms, area, average health, and alerts.
Open Analytics for growth trends, health distribution, and regional breakdowns.
Review the Activity Log for audit trail of all cooperative actions.
Use Team Management to assign farms, manage access, and perform bulk actions.
Tips
Dry Run catches errors (duplicates, invalid coordinates, missing fields) before committing.
The onboarding checklist tracks your cooperative setup progress.
Export cooperative data as CSV for reporting to government agencies or funders.
Module 13
Using the Mobile App
All users
The mobile app provides field-optimized features: GPS boundary survey, camera disease scanning, offline data entry, push notifications, and text-to-speech for advisory content in 12 languages.
Step-by-Step
Download the app from Google Play Store or Apple App Store.
Log in or create an account. Complete the onboarding walkthrough.
Use the Scan tab to photograph sick crops for instant disease diagnosis.
Register farms using GPS Survey for the most accurate boundary.
Enable push notifications for real-time alerts.
Turn on Text-to-Speech in Settings to hear advisories read aloud.
Work offline: GPS surveys, disease scans, event logging, and lab entries all queue locally.
Check the offline banner and last-synced timestamp to verify sync status.
Tips
Enable GPS (location services) before starting a boundary survey.
Take well-lit, close-up photos for disease detection. Avoid shadows.
Offline data syncs automatically with up to 5 retries and exponential backoff.
Text-to-speech plays at 0.85x speed for clarity across all 12 languages.
Module 14
Using the WhatsApp Bot
All users
Access weather advisories, farm health, and seasonal recommendations through WhatsApp. Supports English, Hausa, Yoruba, Igbo, and French with local keyword aliases.
Step-by-Step
Send any message to the AgricVue WhatsApp number to get started.
Send 'menu' or 'help' to see all available options.
Send 'weather' or '1' for today's weather advisory.
Send 'farm' or 'health' or '2' for latest NDVI reading and active alerts.
Send 'advisory' or '3' for seasonal crop recommendations.
Send 'stop' to unsubscribe from proactive alerts. Send 'start' to re-subscribe.
Tips
Local language aliases work: 'yanayi' (Hausa), 'oju ojo' (Yoruba) for weather.
The bot sends proactive daily advisories, health changes, and disease alerts if subscribed.
Works on any phone that supports WhatsApp, including basic smartphones.
Module 15
Language and Accessibility
All users
The mobile app supports 12 languages: English, Nigerian Pidgin, Hausa, Yoruba, Igbo, French, Spanish, Portuguese, Arabic, Swahili, Hindi, and Chinese. Text-to-speech reads advisory content aloud for low-literacy users.
Step-by-Step
Open Profile > Settings in the mobile app.
Select your preferred language. The entire interface switches immediately.
Enable Text-to-Speech to hear advisories and recommendations read aloud.
Tap the speaker icon on any advisory screen to start playback.
Tips
Nigerian Pidgin (pcm) is available for farmers more comfortable with Pidgin English.
Text-to-speech uses a language-matched voice with English fallback.
For users without smartphones, the WhatsApp bot responds in local languages.
Best Practices by Role
For Farmers
Register farm boundaries accurately. Satellite monitoring is only as good as the boundary.
Set up weekly monitoring and never skip readings. Consistency builds trends.
Log every farming activity (planting, spraying, fertilizing, harvesting). This builds your credit score.
Check weather advisories daily. The 5:30 AM advisory helps you plan your day.
Scan diseases early. Early detection means cheaper, more effective treatment.
Enter lab test results when available. They improve satellite-based estimates.
Export PDF reports before meetings with banks, cooperatives, or buyers.
For Agronomists
Cross-reference multiple indices. Do not rely on NDVI alone.
Use the farm compare feature to identify outliers and best practices across farms.
Schedule field visits around monitoring dates for ground-truth validation.
Use cooperative analytics to prioritize which farmers need the most support.
Track disease treatments and monitor subsequent NDVI recovery to assess effectiveness.
Use climate projections to advise on long-term crop choices, not just current-season decisions.
Train farmers to log events. More data leads to better AI recommendations and higher credit scores.
For Cooperative Leaders
Start with bulk CSV onboarding to get all farmers into the system quickly.
Assign farms to team members to distribute workload.
Review cooperative analytics monthly. Track health trends, identify struggling farmers.
Use the activity log for team accountability and audit trails.
Generate compliance reports for government agencies, NGOs, and funding partners.
Encourage farmers to connect with lenders and insurers through the partnership system.
Glossary
Term
Definition
NDVI
Normalized Difference Vegetation Index. Measures crop greenness and health on a 0-1 scale.
EVI
Enhanced Vegetation Index. More accurate than NDVI in dense canopy areas.
NDWI / NDMI
Water and moisture indices. Track drought stress before visible wilting.
LAI
Leaf Area Index. Measures canopy density and development.
SAR
Synthetic Aperture Radar. Satellite radar that works through clouds, used for flood detection.
Sentinel-2
ESA satellite providing multispectral imagery every 5 days.
Sentinel-1
ESA radar satellite that works day, night, and through clouds.
MCDA
Multi-Criteria Decision Analysis. Scores land using multiple weighted factors.
Parametric Insurance
Insurance that pays automatically when a measurable trigger crosses a threshold.
MPCI
Multi-Peril Crop Insurance. Coverage against multiple types of crop loss.
Senescence
Natural aging and drying of a crop as it approaches harvest readiness.
Ground Truth
On-the-ground verification of what satellite data is reporting.