Agronomic Intelligence, From Satellite to Field.
A platform that brings together satellite monitoring, field sensors, assisted irrigation, risk alerts, and AI-powered crop-health reports — all anchored to the monitored area, with the agronomist at the center of every decision.
- Sentinel-2 & Sentinel-1 satellites
- NDVI · NDRE · NDMI · RVI
- IoT / LoRaWAN sensors
- Rain-aware irrigation
- AI crop-health reports
- IAC Bulletin 100 fertilization
- Variable-rate GeoTIFF
- Frost, heat & fire alerts
- Grower, agronomist & dealer roles
- 01
Capture
Satellite imagery, field sensors, and weather forecasts
- 02
Process
Indices, trends, vigor classes, anomalies, and AI
- 03
Deliver
Area dashboard, mobile alerts, reports, and prescriptions
- 04
Decide
Growers and agronomists act — irrigate, fertilize, treat
Scattered Data Arrives Too Late
Growers don't suffer from a lack of data — they suffer because the data is scattered and arrives too late.
Soil moisture sits in the sensor's datalogger. Satellite imagery sits in a portal no one opens. The fertilization plan lives in the agronomist's spreadsheet. The frost warning arrives in a group chat three hours after the crop has already burned. And the disease diagnosis waits for a field visit next week.
Late decisions cost harvests
Irrigating the day before 30 mm of rain, or not irrigating once the soil has passed its critical threshold, burns money and yield on the same day.
Guesswork fertilization is expensive both ways
A flat rate across the whole field pays for fertilizer where it isn't needed and starves the zones where the crop would respond — without anyone noticing.
Agronomists don't scale
One professional serves dozens of farms. Without pre-assembled context, every report starts from zero: which area, which crop, what the weather was, what the sensors showed.
Climate risk arrives without warning
Frost, heat waves, and nearby wildfires are events where the value of information drops to zero within hours — if it isn't pushed, it's useless.
One Field. One Screen.
StarkAgro organizes the farm into monitored areas — the field drawn on the map — and makes each area the single point where everything converges.
Satellite, sensors, weather, irrigation, fertilization, reports, and alerts: all anchored to the same area. Opening an area means seeing the entire crop on one screen, not across six systems.
Not another NDVI map, and not another sensor dashboard. It is the decision layer that cross-references what the satellite saw, what the sensor measured, what the weather will do, and what agronomy recommends — and turns it into an action with a date, a rate, and a location.
Available Today
Everything below is live in production. What comes next is in the roadmap.
Monitored areas & map
- Free-form field drawing (polygon) or circle, directly on the map
- Satellite or street basemap, with address search and elevation
- Crop, calculated hectares, soil analysis, and moisture thresholds per area
Satellite monitoring
- NDVI (vigor), NDRE (dense canopy), and NDMI (canopy moisture) from Sentinel-2
- Radar RVI from Sentinel-1: a time series that sees through clouds
- Color map over the field, historical series, and vigor-level breakdown
- Browse by satellite pass, with retroactive search for dates outside the history
- Radar soil-moisture map under cloud cover — a relative index of where the field is driest
Sensors & telemetry
- Moisture, temperature, and battery per sensor, positioned on the field map
- Direct and LoRaWAN devices, with idempotent ingestion
- History, charts, and automatic detection of anomalous readings
- One-tap sensor analysis: trend, moving average, projection, and time in the ideal range
- Installation depth recorded for each sensor
Assisted irrigation
- Moisture trend and a projection of when the soil crosses its critical threshold
- Decides by the area's reference depth — never mixing 40 cm and 60 cm readings
- Postpones irrigation when forecast rain exceeds the area's threshold
- Proposed schedule per water source, respecting flow rate and a 48-hour window
- Automatic alert when the area drops below its lower limit
Fertilization: how much and where
- IAC Bulletin 100: rates by expected yield × soil fertility class (resin P, exchangeable K)
- Zone prescriptions crossing satellite vigor × NPK profile × hectares
- Soil analysis per zone — variable rate driven by the soil, not an arbitrary factor
- Variable-rate GeoTIFF for the tractor monitor, plus a zone map that opens in QGIS
AI crop-health reports
- Phone photo → disease or pest classification → report written with the area's context
- Context frozen into the report: crop, weather, moisture, and history at that moment
- Agronomist review queue, signable PDF, and history per area
- Works in the field without signal — the report is sent when the connection returns
Risk alerts
- Frost and heat waves from the forecast at the center of the area
- Fire Shield: NASA FIRMS hotspots within the farm's radius
- Sensor anomalies and critical irrigation, in-app and as push notifications
Planting planning
- Plan per field and season: crop, planting and harvest windows
- Expected vs. actual yield, closing the learning loop
- Expected yield feeds the fertilization calculation
Built for dealers & cooperatives
- Client portfolio, invitations, manager and agronomist roles
- Consolidated usage and billing dashboard for the portfolio
- Full isolation between clients — each grower only sees their own data
Installable app (PWA)
- Installs on the phone's home screen, no app store required
- Push notifications per device
- Sign in with email and password or a Google account
What Comes Next
24 planned initiatives in three waves, from the simplest to the most complex — each one starts only once what it builds on already exists. These are estimates, not delivery dates.
Quick wins
Built on what is already in production.
Heavy and accumulated rain alerts
Alongside the frost and heat alerts
Field vigor drop alerts
Liming recommendations from IAC Bulletin 100
Agronomist visit scheduling
With a reminder on the phone
Spraying records
Operational log, not an agronomic prescription
Variable-rate seeding
Same mechanism as zone fertilization
Season scenario simulation
Hail storm warnings
From official INMET weather alerts
Platform foundation
Larger initiatives, delivered in stages, that expand the product and support the third wave.
Spraying and rain windows per field
Seeding windows in a second stage
Farms grouping fields
A consolidated view of the property
Daily AI assistant for each field
Irrigation depth by water balance
Prescriptions in Shapefile and ISOXML
The formats machine monitors read
Interpolated soil fertility map
Costs, inputs, and inventory per field
Operational control, without tax or accounting modules
Nutrient deficiency and weed detection in reports
Field crop detection with MapBiomas
Suggests the crop and flags mismatches, never overwrites it
Long-term differentiators
Depend on external partners, scientific validation, or crop history still being collected.
Georeferenced pest monitoring (IPM)
Field temperature from satellite (Landsat)
A relative surface-temperature index
Climate-based disease risk (soybean rust)
Based on a published model validated by an agronomist
Yield estimation
Calibrated on each field's own history, with stated uncertainty
Prescriptions sent straight to the machine
Through manufacturers' integration programs
Fully offline app
More frequent satellite imagery
What Sets It Apart
- Everything in the same area
- Satellite, sensors, weather, irrigation, reports, and fertilization live in the same field. No spreadsheet exports between systems to answer “what should I do in this area today?”
- Satellite plus soil, not one or the other
- Canopy vigor seen from orbit and moisture measured in the soil appear on the same field and explain each other — and Sentinel-1 radar, rare in this market, covers what clouds hide.
- Agronomy from official sources
- Rates come from the IAC Bulletin 100 tables, transcribed with page citations. No model-invented doses: every recommendation is auditable.
- AI with context, not AI on its own
- A report isn't “photo in, text out.” The system freezes the area's crop, weather, moisture, and history at that moment — and the agronomist reviews it before it counts.
- From dashboard to field
- Prescriptions become georeferenced variable-rate files for machinery, and alerts become phone notifications. The value doesn't stay stuck on a screen.
- Built-in cost governance
- Satellite imagery and AI are billed per use. The platform has a monthly spending cap, per-client quotas, and per-feature switches — costs never escape silently.
- Designed to scale through channels
- Dealers, cooperatives, and agronomists aren't just “large users”: they have their own role, with portfolio, invitations, aggregated quota, and consolidated billing.
Levers, Not Promises
Gains depend on the crop, farm size, and current management level — so we describe the levers rather than promise percentages. Return is sized case by case, with the client's own numbers.
| Lever | How the platform acts | Economic effect |
|---|---|---|
| Water & energy | Postpones irrigation when forecast rain exceeds the threshold; schedules by water-source flow | Fewer pumping hours and less wasted application |
| Fertilizer | Rate calculated from expected yield and soil fertility, applied by zone | Redistributes inputs instead of averaging them across the whole field |
| Weather-event losses | Frost, heat, and wildfire alerts with the lead time of the forecast | A window to trigger protection before damage occurs |
| Early problem detection | Vigor drop by zone in satellite imagery and anomalous sensor readings | Targeted intervention before losses spread |
| Agronomist productivity | Reports with pre-assembled context and a review queue | More clients served by the same agronomist |
| Farm memory | History of satellite passes, reports, plans, and actual yield | Next season's decisions based on the last one, not on recollection |
Built for the Whole Chain
Growers
Want to know where to irrigate, how much to fertilize, and what's happening in the field without waiting for a visit. They buy for the area dashboard and mobile alerts.
Agronomists & consultancies
Want to serve more clients in the same time. They buy for the report queue with context, per-area history, and ready-to-deliver PDFs.
Dealers & cooperatives
Want to build portfolio loyalty through service, not just product. They buy for the management portal, aggregated quota, and consolidated client billing.
Dealers are the most efficient acquisition path: one contract brings the entire portfolio, the manager invites growers, and usage is aggregated into a single plan. An agronomist who runs their own portfolio joins through the same mechanism — as a dealer of one.
Plans That Fit the Channel
Prices aren't hard-coded into the product: plans are created and adjusted by administration, allowing pricing by region, crop, or channel size without a new release.
How a plan is composed
- Monthly fee
- Recurring plan fee
- Included reports
- Crop-health reports per month at no extra cost
- Overage report price
- Unit price once included reports are used — billed, never blocked
- Included seats
- How many growers a dealer can have active on the plan
- Overage seat price
- Price per grower beyond the included seats
- Seat cap
- Optional hard limit on growers in the portfolio
Who pays
Simple and unambiguous: every grower has exactly one payer.
- Grower linked to an active dealer → the dealer pays, in a pooled model: usage across the whole portfolio is compared against the dealer plan's quota.
- Unlinked grower → pays for themselves, under their own plan.
- When a link is accepted, the grower's individual plan is reset — there is never double billing.
Usage control
- Quota (how many reports are allowed) and plan (how much it costs) are separate axes: overage is invoiced, not blocked.
- A pending invitation reserves a seat — the portfolio is never sold twice.
- Usage dashboards per client for agronomists, consolidated for dealers, and a global view of AI and satellite costs for administration.
Transparency · Today the platform calculates and presents the invoice — monthly fee plus overages — with full usage detail. Automatic payment-gateway billing is the next roadmap step; for now, invoicing follows each channel's commercial process.
Isolated, Audited, Traceable
Client isolation
01All data is filtered by the authenticated user on the server. A client can never reach another client's area, sensor, reading, or report — enforced at database access, not in the UI.
Audited, revocable agronomist access
02Agronomists read a client's reports only while the link is active. Once revoked, access ends immediately. They never access the client's sensors or areas.
Authentication & passwords
03Token sessions valid for 8 hours, optional Google sign-in, strongly hashed passwords, rate limiting, and brute-force protection.
Secrets out of the code
04AI keys, satellite credentials, and integration secrets live in protected configuration — never in the repository, never in the browser app.
Operations
05Automated releases with mandatory tests before deploy, HTTPS with managed certificates, health monitoring, and a ready path to on-demand cloud.
Traceability
06Reports keep an audit trail of what was done and by whom, and freeze the context used — any decision can be reconstructed months later.
Draw the Field, Start Monitoring
Satellite monitoring requires no hardware: drawing the area is enough to start receiving satellite passes and weather alerts. Sensors come in when the client wants soil-moisture precision — and the platform works fully with or without them.
- 01
Sign-up
Account created and plan assigned
- 02
Areas
Fields drawn on the map with crop and soil analysis
- 03
Sensors
Devices linked to areas (optional)
- 04
Operation
Satellite starts feeding the history and alerts go live
What the client needs
- A browser or phone — nothing to install on the client's servers
- Field boundaries, or just the map: fields are drawn on screen, on the spot
- Field soil analysis for fertilization recommendations (optional, but recommended)
See It on Your Own Fields.
Guided demo
45 minutes on a real client area: we draw the field live and walk through the satellite history, fertilization recommendation, and active alerts.
Pilot
A set of fields for one season, with agronomic support and a joint review of results at the end of the cycle.
Channel partnership
For dealers and cooperatives: portfolio sizing, seat planning, and technical team training.
Technical documentation
A technical-agronomic document for field teams, detailing indices, calculation methodology, and the limitations of each feature.
Ready to open StarkAgro?
Access the platform at starkagro.com.br
Features described reflect the state of the platform as of September 2026; items marked as roadmap are not a delivery commitment. The AI crop-health report is a decision-support tool and does not replace evaluation by a licensed professional.