Pathway to sustainability
Records that support certification such as SPRING — the Sustainable Program for Irrigation and Groundwater Use by GLOBALG.A.P. — and Goccia Verde.
Agorà · The Agritech Oracle
A sensor-less digital twin for sustainable agriculture.
The best irrigation forecast, at the lowest price ever. Agorà combines semantics, physical models and AI that learns from farmers — for any crop, on any soil, worldwide.
Agorà learned
10 mm logged. Drainage on the lower side of field 4 adjusted — tomorrow’s balance starts from what you actually did.
ILLUSTRATIVE CONVERSATION
The solution
From a pair of coordinates to a three-day irrigation forecast.
Give Agorà the position of a field. It picks the best local data and the best model for it, and runs a digital twin of the soil, the crop and the atmosphere above them.
Input
- Latitude, longitude Required
- Sensors and devices Optional
- Satellite In progress
Digital twin
Hyper-local data
For each field, Agorà selects the best weather service and soil data provider available.
Soil–crop–atmosphere model
It selects the best model for the case, from CRITERIA1D by ARPAE Emilia-Romagna to AquaCrop by FAO.
- 40+ crop models
- Knowledge graph
- AI calibration
Output
- Irrigation forecast Available
- Crop yield Coming soon
- Nitrogen emissions In progress
How Agorà thinks
Semantics, physics and AI — each doing the job it is best at.
Semantics brings every data source into one picture. Physics turns that picture into a water balance you can check. AI learns from farmers’ feedback and tunes the model to each field.
The AI never replaces the physics. It adjusts a model you can inspect, so every recommendation can still be traced back to rain, soil and crop — and it gets better every season.
Semantics
A knowledge graph harmonises the inputs
Weather, soil maps, satellite, sensors and farm software, mapped to one meaning on Milky Data Way.
Physics
The model simulates the root zone
A day-by-day soil water balance from a validated agro-hydrological model.
AI
It learns from farmers’ feedback
Applied irrigations, field observations and corrections tune the model to how each field really behaves.
Advice
“15 mm tomorrow”
By app, SMS, WhatsApp, Telegram, WeChat, dashboard or API.
The farmer’s reply goes back to the AI
How it works
A year of history, then a new run every day.
Agorà starts from one year of daily temperature and rainfall, plus the features of the soil, the crop’s water needs and irrigation method, its cycle and root development, and how water infiltrates. Then it runs every day.
…Observed
Day X−1Observed
Day XForecast · today
Day X+1Forecast
Day X+2Forecast
Every run returns a full water balance
Not just a number to irrigate: the terms behind it, for each of the next three days. Agronomists can check every one of them.
- Irrigationmm
- Reference evapotranspiration (ET0)mm
- Max transpiration · transpirationmm
- Max evaporation · evaporationmm
- Leaf area index (LAI) · crop coefficient (Kc)–
- Soil water contentm³/m³
- Surface water contentm³/m³
- Lateral drainage · surface runoffmm
- Root depthm
Model parameters
What the twin knows about your field.
Soil comes from digital soil maps or sampling. The crop comes from a library of 40+ models. The farmer’s feedback keeps both honest.
Soil
Features of the soil
Number of horizons and their depths, coarse fragments, organic matter, texture (sand, silt, clay) and bulk density.
Soil
Infiltration
Maximum infiltration and the water retention curve of each soil layer.
Crop
Crop cycle
Sowing day, maximum cycle length, leaf-area parameters, thermal thresholds and degree-days for emergence and leaf growth.
Crop
Root development
Initial and maximum root depth, and root shape.
Crop
Water need
Crop coefficient, leaf water potential, stress tolerance and fraction of readily available water.
Irrigation
Irrigation
Irrigation shift and volume, degree-days to start and end irrigation, and the most sensitive growth stage.
Engagement and assessment
Already efficient? Let’s check which irrigations really mattered.
Send us your previous seasons’ irrigation data. Agorà replays them and returns a water efficiency assessment: where you were in the optimal range, where water was short, and where it was wasted.
Because the question is not only this year. What if next year you don’t have the water you had this year?
Automatic irrigation
From advice to action, over LoRaWAN.
Agorà can control irrigation directly — only when a remote LoRaWAN valve is available and the farmer authorises the action.
- 01AgoràSends the open/close command once the farmer says yes.
- 02Internet → farm gatewayThe gateway reaches the field by LoRaWAN radio, 10–20 km.
- 03Actuator → valveThe actuator in the field opens the valve, then closes it.
LoRaWAN hardware is sold separately.
Unique features
What makes Agorà different.
Open and reliable
Built on open-source, validated models such as CRITERIA1D by ARPAE Emilia-Romagna — transparent and trustworthy, not a black box.
No sensors needed
Agorà works without in-field hardware. Where soil moisture sensors, CRNS or satellite data exist, it uses them for extra precision.
Multi-scale approach
From a single plot to an entire region, Agorà adapts to your scale and delivers precise advice whatever your context.
For service providers
Add irrigation intelligence to what you already sell.
Through its API, Agorà slots into the digital systems agritech service providers already offer — without you building an agro-hydrological model, a data-integration layer or a learning loop.
{ "unit": "field-4", "crop": "potato", "advice": [ { "day": "today", "irrigation_mm": 8 }, { "day": "tomorrow", "irrigation_mm": 15 }, { "day": "day_after", "irrigation_mm": 5 } ], "calibrated_from_feedback": true }
Questions
Before you book the call.
What does the AI actually do?
It learns from farmers’ feedback — the irrigations they actually applied, what they observe in the field, and the corrections they make — and uses it to tune the model to how each field really behaves, rather than a textbook average.
Do I have to install anything in the field?
No. Agorà is sensor-less. If you already have soil moisture sensors, CRNS or satellite data, it will use them. For automatic irrigation you need a LoRaWAN valve, sold separately.
Which crops does it cover?
More than 40 crop models, from potatoes and onions to cereals and orchards. Tell us what you grow and we will confirm before you commit.
How far ahead does it forecast?
Three days — today, tomorrow and the day after — re-run every day with fresh observations and forecasts.
How do I get the advice?
Through the channel that works best for you: the mobile app, SMS, WhatsApp, Telegram or WeChat. Agronomists also get a dashboard, and developers an API.
What does it cost?
One unit is free. Two units cost €10 a month. See pricing for what a unit is and for API plans.
Who owns the data?
You do. CONFIRM DATA OWNERSHIP AND RETENTION WORDING WITH LEGAL
Has it been tested in real fields?
Yes. We co-designed and validated Agorà with Royal Agrifirm in the Netherlands over three years, on potatoes, onions and tulips. Read the potato white paper.
Start smart. Stay lean.
One unit is free, forever. Half an hour with us and you will know whether Agorà fits your fields.