With climate change, decisions in the field have to be guided by data. That is where Agorà — the Agritech Oracle — was born.
608 million farms worldwide · FAO estimate
From forecast to millimetres
It reads the weather observation and forecast for your exact field and simulates how water moves through the soil and the crop. What comes out is one simple number: how many millimetres to give today, tomorrow and the day after.
Irrigation need · next 3 days
EXAMPLE FORECAST
Nothing is loaded from YouTube until you press play. Open it on YouTube.
See it working
One portal that opens on what you do: farmers get the irrigation advisor, with fields, soils and crops in one place; agronomists simulate climate scenarios and run the model directly; students learn irrigation decisions with AgriTwix; developers test the API.
For agronomists
Simulate crop and soil responses under different climate conditions.
Scenarios
For farmers
Turn crop, soil and weather data into actionable irrigation guidance.
Irrigation advisor
For developers
Integrate Agorà capabilities into your own applications and services.
For students
Discover agriculture through interactive and immersive learning.
AgriTwixIt learns from farmers
Agorà combines a knowledge graph, validated physical models and AI. Every time a farmer tells it what they actually did and saw, it learns — adapting to their context to give the best irrigation advice.
It talks through the channel that works best for each farmer
AI weather models
A water balance is only as honest as the weather it begins with. Agorà draws on AI weather models that run a global forecast in minutes instead of hours and resolve it to a few kilometres, hour by hour — so the three days ahead keep moving closer to what actually falls on your ground.
NVIDIA Earth-2 · Google WeatherNext 3
Physical model
A validated soil–crop–atmosphere simulation tracks the water in the root zone day by day — rain, transpiration, drainage — so every number has a physical reason behind it.
CRITERIA1D by ARPAE · AquaCrop by FAO
AI
Farmers confirm what they applied and flag what they see. The AI learns from that feedback and tunes the model to each field — the longer it runs, the closer it gets to reality.
The physics stays the backbone, so advice stays explainable
From advice to action
Agorà can control irrigation directly — only when a remote LoRaWAN valve is installed and the farmer authorises the action. The farmer answers from the sofa; the valve is twelve kilometres away. Agorà asks, then does the work, then reports back.
06:11 · “Yes, go ahead”
Valve open · 15 mm
ILLUSTRATIVE CONVERSATION
From research to the field
Agorà started as a response to climate change and water scarcity, built on decades of research and real-world testing. We wrote up how it works on potatoes — read it and judge for yourself.
Free assessment
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?
Proven where water is used best
We co-designed and validated Agorà with Royal Agrifirm — a Dutch cooperative of more than 7,500 members — on potatoes, onions and tulips. The Netherlands leads the world in water-use efficiency. If Agorà adds value there, it adds value anywhere.
Water-use efficiency · US$ of value per m³ of water
Track record
Research institutes, companies, European projects and programmes we have built with since 2020 — some current, some finished.
These names and logos record the realities we have been and are in touch with, through projects, pilots, programmes and competitions. Not all of them are current partnerships, and none of them implies an endorsement of VAIMEE or Agorà. Every logo remains the property of its owner and is shown for identification only.
Explore further
Farmers need accessible solutions to adapt to climate change. Water is the first thing it takes away — and the one input no farm can afford to waste.
So Agorà is built to be within reach of every farm: no sensors to buy, a price a smallholder can pay, and advice that arrives on the phone the farmer already carries. We can’t create water. We can help use it wisely, when it is available.
Working towards the UN Sustainable Development Goals
Two questions every irrigated farm answers, every day of the season. The right answer balances water, yield and costs.
What the decision depends on
The decision
When to irrigate?
How much water?
What it decides
The yield curve
Past the optimal range, extra water doesn’t raise the harvest. It wastes water and energy — and can even reduce yield.
The goal: irrigate at the right time, with the right amount — the best result with minimal waste.
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
Digital twin
For each field, Agorà selects the best weather service and soil data provider available.
It selects the best model for the case, from CRITERIA1D by ARPAE Emilia-Romagna to AquaCrop by FAO.
Output
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.
Not just a number to irrigate: the terms behind it, for each of the next three days. Agronomists can check every one of them.
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
Number of horizons and their depths, coarse fragments, organic matter, texture (sand, silt, clay) and bulk density.
Soil
Maximum infiltration and the water retention curve of each soil layer.
Crop
Sowing day, maximum cycle length, leaf-area parameters, thermal thresholds and degree-days for emergence and leaf growth.
Crop
Initial and maximum root depth, and root shape.
Crop
Crop coefficient, leaf water potential, stress tolerance and fraction of readily available water.
Irrigation
Irrigation shift and volume, degree-days to start and end irrigation, and the most sensitive growth stage.
A unit is a georeferenced plot with the same soil and the same crop — the area where one irrigation decision is right for all of it. A field with two soils on it counts as two units.
Geo-coordinates+Soil+Crop=1 unit
Not every system can water zones separately — a hose reel, for one, covers the field evenly. Tell us how you irrigate and we will work out the most efficient way to turn the advice into water on your own equipment.
Records that support certification such as SPRING — the Sustainable Program for Irrigation and Groundwater Use by GLOBALG.A.P. — and Goccia Verde.
Built on open-source, validated models such as CRITERIA1D by ARPAE Emilia-Romagna and AquaCrop by FAO — transparent and trustworthy, not a black box.
Agorà works without in-field hardware. Where soil moisture sensors, CRNS or satellite data exist, it can use them as additional inputs.
From a single plot to an entire region, Agorà adapts to your scale and delivers precise advice whatever your context.
News
At the Digital Automation Lab in Reggio Emilia, VAIMEE presented how Agorà turns weather, soil and crop data into irrigation advice — with no sensors in the field.
Selected among more than 450 applicants as one of the 15 startups in the internationalisation programme run by OGR Torino with Mind the Bridge.
In Helsinki for one of the most influential technology gatherings in the world, presenting Agorà among startups, researchers and organisations reshaping the agrifood system.
Drop by drop
Join us to create a worldwide impact — whether you farm one field, advise a hundred, or build the tools they use.
