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Climate, irrigation and yield

Greenhouse Farming

Intelligent Greenhouse Automation

Boost greenhouse production with AI

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What changes in your greenhouse

40%
of a Dutch vegetable grower's costs went to energy in 2022 Wageningen Economic Research, 2023
42%
of US greenhouse and nursery production costs go to wages and contract labor USDA Economic Research Service, from the 2022 Census of Agriculture
17%
less nutrient solution when sensors decide irrigation instead of a timer, at the same crop weight Montesano et al., Horticultural Science, 2016. Soilless lettuce.
Less gas and power in every kilo
Heating, lighting and screens decide most of the energy bill. Setting them hour by hour against the weather forecast and the power price lowers what each kilo costs to grow.
More kilos from the same glass
The crop responds to light, temperature and CO₂ together. Control that follows the crop, not a fixed recipe, turns more of each day into growth.
Water and fertilizer by what the crop needs
Irrigating on what the root zone measures, not on a timer, gives the crop what it uses and sends less to the drain.
Your best grower's strategy in every compartment
Good growers are scarce and hard to keep. Their strategy runs the same way day and night, in every compartment, whoever is on shift.

How it works in the greenhouse

Control that considers both climate and crop
KoPilot combines greenhouse climate models with crop information and grower-entered crop registration, so control decisions can reflect both environmental conditions and crop development.
Crop registration where the measurements are taken
Growers can record crop measurements and observations from a phone or tablet in the greenhouse, reducing the delay between observing the crop and making that information available for analysis and control.
Operational context in one place
Climate data, crop measurements, photographs, alarms and maintenance history can be connected by compartment and time, making it easier to understand what happened and why.
Alerts that reach the right person
When a climate or equipment condition needs attention, notifications can be delivered directly to the people responsible rather than remaining on a control-room screen.

Already evaluating another system? See how Koidra compares with Blue Radix and with Hoogendoorn’s Intelligent Algorithms.

Unified operational data for the greenhouseThe climate computer and the grower's tablet both write into unified operational data, held by compartment and time. From it an alert goes to the person responsible, and KoPilot adjusts the climate with the crop in view.Climate computertemperature, humidity, screens, irrigationUnified operational databy compartment and timeGrower's tabletcrop measurements, photos, notesAlertto the person responsibleKoPilotclimate control that sees the crop
The climate computer and the grower both write into unified operational data. That is what lets an alarm reach a phone, and what lets control see the crop.

For a hi-tech greenhouse with a climate computer

A hi-tech greenhouse can start in one of two ways. DataPilot connects to the climate computer and puts your growers’ crop registration beside its data. Work Orders management needs nothing connected, so your team can start on its own, with crop registration, crop maintenance and repairs on the phone. Predix needs both and is sold with both. KoPilot then runs the climate, using everything the other three hold.

The path for a hi-tech greenhouseA hi-tech greenhouse with a climate computer starts with DataPilot or with Work Orders management. Both lead to Predix, which needs both, and KoPilot runs the climate on top.DataPilotclimate computer connectedPredixa weekly summary,and what to changeWork Orders managementcrop registration, crop andequipment maintenanceKoPilotclimate setpoints,continuously
Two ways to start, one layer that needs both, and control on top. Each product pays for itself before the next exists, so the path can stop at any point.

For a mid- or low-tech greenhouse

A greenhouse without an advanced climate computer takes a different path. DripPilot is a separate product: autonomous irrigation on its own controller, for the houses where water is the biggest lever and there is no climate computer to build on. It reads irrigation, climate and root-zone sensors and decides when to irrigate, how much, and what drain percentage and EC to hold. It is not a step on the path above, and not an add-on to KoPilot.

DripPilot installed in a greenhouse. The Koidra irrigation controller on the wall beside the pump and valve pipework, the labelled valve relays it drives, and the tomato rows it waters.
DripPilot on the wall of a greenhouse that runs without an advanced climate computer.
How DripPilot runs irrigationA pyranometer, a temperature and humidity sensor and a soil moisture sensor in the greenhouse send their readings over LoRa to a gateway, which feeds the DripPilot controller. The controller sends the readings to the AI engine and receives setpoints back, and drives the mixing valves and the water pump.What it movesIn the greenhouseLoRaLoRaLoRasensor readingsreadingssetpointscontrolcontrolPyranometerTemperature and humiditySoil moistureLoRaWAN gatewayDripPilot controllerAI engineMixing valvesWater pump
Sensors in the greenhouse reach the DripPilot controller over LoRa. The controller moves the mixing valves and the pump, and trades readings for setpoints with the AI engine.

What each product gives a greenhouse like yours

Start with Work Orders management or DataPilot. Predix needs both, and KoPilot adds control on top. Each product pays for itself on its own.

  1. Start here

    DataPilot

    DataPilot puts climate computer data, irrigation, drain percentage and your growers' crop measurements side by side, compartment by compartment, over time. When the crop changes, you can see what the climate did before it. An alarm goes to the person who has to act, not only to a control-room screen.

    A grower in a greenhouse holding a tablet showing Koidra dashboards

  2. Start here

    Work Orders management

    Three kinds of greenhouse work run on your growers' phones. Crop registration is entered in the aisle, plant by plant and even without a signal, with the averages ready as they type. Pruning, deleafing and harvesting are planned by compartment and assigned to your crew. A stuck screen or a stopped pump goes to the grower who handles it, or to the service company you call, and closes with a photo.

    Work orders in a greenhouseThree kinds of work run as work orders on the growers' phones: crop registration, crop maintenance such as pruning, deleafing and harvesting, and equipment maintenance. Each goes to whoever does the job, and all of it ends in the greenhouse record, beside the climate data.Crop maintenancepruning, deleafing, harvestingEquipment maintenancea screen sticks, a pump stopsWork orders on the phoneto whoever does the jobThe greenhouse recordbeside the climate dataCrop registration

  3. AI insights

    Predix

    Predix sends a regular summary of what the crop received: daily light integral, 24-hour average temperature and vapor pressure deficit, compared with your strategy. Each summary ends with a recommendation on what to adjust. You set the target, as a number or in plain words, and the recommendation aims at it.

    Predix in a greenhouseFrom the climate record and the crop registration it produces a weekly summary of what the crop experienced against the intended strategy, and recommends what to adjust toward the target the grower set.Youyour strategy,your targetThe greenhouse recordclimate computer, crop registration,irrigation, equipment checksWeekly summarydaily light integral, 24-hour temperature,vapor pressure deficit, against your strategyWhat to adjusttoward the target you named

  4. Autonomous control

    KoPilot

    KoPilot adjusts screen, vent, heating and other climate setpoints day and night. It works from current conditions, your crop goals and the weather forecast, and stays inside the limits you set. Your strategy runs the same way on every shift, whoever is on duty.

    How KoPilot runs a greenhousePlant and climate sensors in the greenhouse feed the climate computer, which sends the greenhouse data to KoPilot. KoPilot also reads the weather forecast, and the crop and production data growers enter on the phone app. KoPilot decides the growing conditions day and night and sends setpoints back to the climate computer, which moves the screens, vents, heating, lighting and CO2.datasetpointsPlant and climate sensorsWeather forecastClimate computerKoPilot, 24/7Screens, vents,heating, lighting, CO2Crop & production data

Proof

2×
Winner, Autonomous Greenhouse Challenge 2018 and 2022, a live crop each time
17%
Higher net profit than the expert growers 2018 competition, with 6% higher yield
19.5%
Yield increase on cucumber 29.7 against 24.9 kg/m² in the growers' own zone
17%
Energy savings lower electricity cost per unit, same lights in both zones

KoPilot has been tested in international competition and in commercial greenhouses. In 2018, the technology behind it was the only AI entry to beat the expert growers on both yield and net profit. KoPilot does more than recommend a climate strategy. It makes the control decisions and applies them, day and night.

What we measure here

What our customers say

We wanted a ‘digital assistant grower’ — someone who never sleeps, reacts instantly to live data, and follows our instructions without bias. Our priority was speed and accuracy, especially for light and CO₂ strategies, because they drive a large part of the budget. KoPilot promised quicker decisions and tighter control in those areas. Dynamic lighting that factors in real-time electricity prices and radiation is a game-changer — saving energy without sacrificing crop performance.
Octavio Perez Rodriguez Director & Growing Operations, Nature Fresh Farms
I have seen firsthand the impact of Koidra’s DataPilot on controlled environment agriculture. The ‘actionable insights’ feature has been pivotal in translating real-time data into strategic actions, significantly supporting us to optimize growing conditions. What I like the most is that DataPilot allows me to easily show sensor readings from the climate controller and separately installed sensors in the same dashboard. Another feature I like is that creating new insights using raw data and advanced calculations is relatively simple.
Dr. Chieri Kubota Lead Project Director, The Ohio State University

See Koidra on your greenhouse data

Bring a week of readings from one compartment. We will show you what the platform sees, what it would have flagged, and what it would have scheduled.

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