for every kind of crop farm
Satellite, AI and weather — your field's whole picture on one screen.
A crop-monitoring platform that brings satellite, weather and AI together in one place. Track your field's NDVI/NDMI indices, the region's frost dates, the spraying window, GDD heat accumulation and norms calibrated separately for each crop — all on one phone, in your own language. Grains, grapes, vegetables, orchards — for any field.
NDVI (plant density)
0.71
AI Agronomist
Moisture has dropped in the northern part — the irrigation window is open, Friday is suitable for spraying.
what's the difference
A generic satellite tool and a platform calibrated for each crop are not the same thing.
In-field variation
The field stays in place; the index tracks the whole field, part by part — with a map, not a single average number.
Frost is the first risk
Frost that takes the blossom and the crop overnight comes as a number from a 20-year archive — the most important information for many crops.
Calibrated by crop
Index norms and stage thresholds are gathered separately for each crop — answering correctly the question "is this indicator good or low?"
Why it's different for a farmer
Five reasons — each one something with a direct counterpart in the daily work of a field, not a pretty chart on a screen.
1.Reads the field with a map, not a single average number
Your field is not one uniform whole — one part can be strong, another weak. Satellite indices (NDVI plant density, NDMI/NDWI moisture, NDRE nitrogen) reveal that difference before the eye can pick it up: a clog in the irrigation line, a weakening part, a disease focus shows on the map while it's still just a small patch.
2.Frost window — one of the biggest risks, as a number
Early spring and late autumn frost can take the blossom and the crop overnight. The platform computes the safe (p90) date of the spring frost and the early (p10) date of the autumn frost, the number of frost-free days and the coldest nights from your region's last 20 years of climate archive — once per district, free for all members.
3.Spraying timing and heat accumulation (GDD)
A suitable window for spraying is selected from the 7-day weather forecast, and alerts are given for frost and heat waves. The accumulation of heat units (GDD) is tracked from the start of the season — allowing pest stages and intervention timing to be tracked by real heat rather than by the calendar.
4.Not one season — a history of years
You can backfill past seasons: the satellite archive is loaded year by year, and the season comparison puts this year next to the earlier ones on the same calendar day. Not one snapshot but a history — that is where the field's own rhythm shows.
5.Calibrated separately for each crop
Unlike generic tools, here separate index norms and growth-stage thresholds are gathered for each crop. This makes the interpretation of an index value — "is this NDVI good or low for this season?" — more precise.
Value in 4 steps
No GIS knowledge, no spreadsheet, no paper. From sign-up to your first satellite map usually a tea break is enough.
Draw the field
Search for your village on the map and tap your field — the boundary is detected automatically. Edit by hand or upload a ready shapefile (.zip). The hectares are computed right at that moment.
Let the satellite archive open
As soon as the field is created it enters the processing queue: recent weeks' scenes are loaded, cloud and shadow pixels are masked, and each index is clipped to your field's boundary. Progress and the expected time appear on screen.
See the windows, ask the AI
Frost dates, the spraying window, GDD accumulation and satellite indices in one place. Photograph a suspicious leaf — let the AI read the disease/pest trace; ask in the chat about anything you don't understand.
Record it and compare
Record irrigation, spraying and fertilizing, attach a photo of the suspicious spot — every entry goes into the next AI analysis. And the season comparison puts this year next to the earlier ones on the same calendar day.
Everything your field needs — in one place
One platform instead of separate apps and paper notebooks. Each module feeds the next: every operation you record sharpens the AI's answer.
Satellite monitoring
10 m satellite scenes. NDVI (plant density), NDMI/NDWI (moisture), NDRE/CIre (nitrogen), EVI, SAVI, NBR — a color raster clipped to your field, a date strip and a contrast mode.
Regional frost dates
Climate dates of the last spring and first autumn frost, the number of frost-free days and the coldest nights — from a 20-year archive, for each district. The foundation of planting and harvest planning.
Spraying window
Suitable hours for spraying from the 7-day forecast based on wind, rain and temperature. Frost and heat-wave alerts come separately.
Water balance (FAO-56)
Soil water reserve with the FAO-56 methodology: when and roughly how much the field needs irrigation. It becomes visible when a dry period coincides with an index drop.
GDD — heat accumulation
Heat units are accumulated from the start of the season. Helps time pest stages and intervention by real heat rather than by the calendar.
AI agronomist and chat
Automatic analysis after every new satellite scene: risks (with severity level), recommendations, next steps. Ask what you want in a chat that remembers your field's context.
Photo diagnosis
Photograph the leaf, the fruit or the plant — the AI reads the disease or pest trace and explains what you should do. Photos stay in the field archive.
Fertilizer plan and AI dose suggestion
Write down your fertilization schedule; a dose range is suggested from the NDVI trend, the crop norms and (if you uploaded one) your lab analysis. The final call is yours.
Health score — explained
A 0–100 score computed from the field's index, weather and log data. It shows how it's tallied; when an input is missing no made-up number is given and the weights are re-normalized.
Soil analysis and Knowledge Passport
Upload a photo or PDF of the lab document — pH, NPK and organic matter are read out, written into the field's soil passport and fed into the AI recommendations.
Scouting notes and share link
Write down what you saw in the field, mark the spot on the map, attach a photo. Send the field's short card to your agronomist with a tokenized link — revoke it whenever you like.
Season comparison
Difference from last year on the same calendar day, a p10–p90 band and the trend. Shows at a glance how your field this year compares to previous years.
Before and after
The same field, the same people — the only difference is when and in what form the data reaches you.
With a generic farming tool (or a notebook)
- A generic tool doesn't "understand" your field's own behavior and seasonal rhythm
- Frost risk is managed by word of mouth and "it was like this last year"
- Spraying time is chosen by the calendar, not by real heat and the forecast
- You see a weakening field only when you walk into it, often after it has spread
- How last season actually went stays only in memory
- What was done when stays in scattered notebooks and in memory
With Agradex
- NDVI/NDMI/NDRE track the field all season long
- Frost dates come as numbers from a 20-year archive — the window is planned
- The spraying window relies on the forecast, and GDD on real heat
- A weakening zone shows on the map while it's still a small spot
- Past seasons can be backfilled — this year sits next to the earlier ones
- Every operation is tied to the field and enters the next AI analysis
Example scenario — an illustration, not a measured result
One season in one field — step by step
The sequence below is the platform's real flow: which data arrives when and what step the farmer takes. The dates and numbers are chosen for illustration — it will be different on your field.
Early spring
Frost dates open up: the safe date of the last spring frost is ~5 April, GDD accumulation starts from that date. The planting and flowering plan is built accordingly.
May
A new satellite image comes in. In the northern part of the field the NDMI (moisture) is lower than in neighboring zones; the water balance also shows a dry period in the same spot.
May, 10 minutes later
The AI analysis is ready: irrigation shortage is listed among the likely causes, a suitable window from the forecast is suggested for spraying, and verification steps are given.
July
The farmer photographs the suspicious leaves; photo diagnosis reads the pest trace. The operation is recorded and enters the next analysis.
Autumn
The season closes: the season comparison puts this year next to the earlier ones, and the field's short card is shared with the agronomist through a share link.
The platform does not diagnose and does not replace an agronomist — it extends what you see and justifies the decision. All AI answers are advisory.
How it works — a closer look
Under what looks simple on the surface there is serious processing. The three most important layers for any field.
Satellite index layer
In every satellite scene, cloud and shadow are masked and indices are computed down to a 10-meter pixel, only within your field's boundary. What matters is not a single average number — it's the map that shows the difference between one part of your field and another.
- Pixel-level color overlay — part-by-part differences are visible
- NDVI density, NDMI/NDWI moisture, NDRE/CIre nitrogen indicators
- Date strip: each scene's date and cloud percentage
- Retrospective archive: backfilling old seasons afterward
Frost and heat layer
Frost is one of the biggest risks for many crops. From the region's 20-year Open-Meteo archive, the safe dates of the last spring and first autumn frost are computed; the result is stored in a district-wide shared knowledge block so every field can use it without recomputing.
- Spring frost p90 (safe), autumn frost p10 (early)
- Number of frost-free days and the coldest nights
- GDD accumulation start is tied to the median last frost
- The spraying window is selected from the 7-day forecast
AI agronomist layer
The model does not talk into the void: the field's index trends, weather history, soil profile, planting date, operation and scouting notes and the photos you take are all handed to it as context. The answer comes back structured — risks, recommendations, next steps.
- Analysis refreshed automatically after every new satellite scene
- A chat that remembers the field's context
- Photo diagnosis — from a picture of a leaf, fruit or soil
- Clarifying questions — the model asks where it is unsure
Pricing applies only to farmers. For the first 1 month all features are free — no card needed, no automatic charge. After that it's up to you whether to stay on the free package or choose Package 2 (10 AZN/month) or Package 3 (25 AZN/month). For laboratories, agronomists and suppliers the platform is fully free.
View packagesFrequently asked questions
Many well-known satellite platforms stop at simply showing satellite indices. Agradex, on the other hand, brings the whole picture together: satellite indices, the region's 20-year frost dates, GDD heat accumulation, FAO-56 water balance, AI agronomist advice and norms calibrated separately for each crop — all in your own language, on one phone.
From the last 20 years of climate archive for your field's district, the safe (p90) date of the last spring frost and the early (p10) date of the first autumn frost, the number of frost-free days and the coldest nights are computed. The result is computed once per district, shared, and free for all members.
NDVI shows the density and vitality of the green cover. In a field, this reflects the state of the plants: when a part weakens, when irrigation falls short or a disease focus forms, NDVI drops in that spot and appears as a patch on the map — often before it's visible to the eye.
The platform works for any crop — grains, grapes, vegetables, orchards, cotton and more. Satellite indices, frost dates, water balance, GDD, field records and the AI are the same for every field; and for many crops there are separately calibrated index norms as well.
No. It's enough to search for your village on the map and tap your field — the boundary is detected automatically and can be edited by hand if you wish. If you have a shapefile (.zip), you can upload that too. No GIS software or coordinate table is needed.
For the first 1 month all features are free — no card details requested and nothing charged automatically when the trial ends. After that you can stay on the free package, or choose Package 2 (10 AZN/month) or Package 3 (25 AZN/month). The full comparison is on the Pricing page.
The AI agronomist gives advice, the decision is yours — there's a note about this under every answer. When the model is unsure it asks a clarifying question and shows what the answer is based on. In serious cases, contacting a laboratory or agronomist from the catalog is recommended.
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