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From greenhouse to consumer: how Dutch AI startups are tackling food waste

22 July 2026·4 min read

From greenhouse to consumer: how Dutch AI startups are tackling food waste

Somewhere between the greenhouse and the consumer's plate, roughly one third of all food produced worldwide disappears. In the Netherlands, several startups are developing tools to make those losses visible at each link in the chain and to reduce them. They combine sensors, image recognition and predictive models, each targeting a different point in the journey from cultivation to table.

The approach differs by link. In the greenhouse, the focus is on climate control and growth optimisation. In distribution, it is about shelf-life prediction. In the supermarket and the hospitality sector, it is about measuring what is actually thrown away. Together, these companies illustrate how the Dutch agri-AI sector aims to address food waste in a structural way.

In the greenhouse: data as the foundation for reducing losses

Waste begins at the growing stage. A head of lettuce harvested too early, too small, or lost due to a suboptimal greenhouse climate never reaches the consumer. Rotterdam-based sensor platform 30MHz, founded in 2014 and financed with €12.8 million, places sensors in greenhouses to continuously record temperature, humidity, CO2 and soil conditions. Growers can use that data to intervene before problems become visible in the crop.

Amsterdam-based Source.ag goes a step further. The company, founded in 2020 and in January 2025 having closed a Series B round of €54.5 million, builds data software that helps growers optimise yields. Where 30MHz provides the measurements, Source.ag focuses on translating greenhouse data into concrete cultivation decisions.

Blue Radix (Rotterdam, founded 2019, €5 million seed financing) also operates in this space. The company autonomously manages climate and irrigation in greenhouses, without requiring constant input from the grower. And Agurotech (Amsterdam, 2020, €3.8 million Series A) combines sensors with AI predictions for precision agriculture, with an emphasis on sustainability. Together, these four companies cover virtually the full spectrum from greenhouse monitoring to autonomous crop management.

After the harvest: predicting shelf life in the supply chain

Once the lettuce has been harvested, a new risk begins. During transport and storage, the shelf life of the product determines how likely it is to make it to the shop shelves. Traditionally, shelf life is assessed on the basis of the harvest date and visual inspection, a rough estimate that regularly writes products off too early or too late.

OneThird, based in Enschede, founded in 2019 and financed with €9.3 million (Series A), takes a different approach. The startup has developed an AI scanner that measures the actual remaining shelf life of fresh food, using spectroscopy and machine learning. An avocado, a pear or a strawberry is scanned and the system indicates how many days the product will remain fresh, regardless of the stated date.

For retailers and distributors, this makes a real difference. Parties can base decisions about routing, pricing or promotions on measured shelf life rather than relying on calendar dates. Products that keep longer than expected are less likely to be discounted or discarded. Products that deteriorate more quickly can be redirected to a different channel earlier.

In the kitchen: measuring what gets thrown away

In professional kitchens, from restaurants to corporate canteens and hospitals, food waste is difficult to quantify. Chefs estimate how much is left over, but accurate recording is often absent. Without measurement, making adjustments is difficult.

Orbisk (Utrecht, 2019, €5.2 million Series A in 2023) has developed a device that hangs above the bin and automatically tracks what is thrown away using a camera and a scale. An AI model identifies the food and records its weight. The kitchen receives a dashboard showing which products are wasted most frequently and in what quantities.

This data enables kitchens to adjust purchasing behaviour, portion sizes or menu composition. Orbisk targets the professional market, where volumes are large enough to generate a rapid return on investment. The company is now active at several major hospitality chains and healthcare institutions in the Netherlands and beyond.

What the chain as a whole reveals

The companies in this overview operate independently of one another, but together cover a large part of the food chain, from greenhouse climate management and crop steering at the beginning, through shelf-life measurement in the logistics link, to waste recording in the kitchen at the end. Each segment has its own loss pattern and requires its own approach.

What stands out is that most of these companies are relatively young, all founded between 2014 and 2020, and that their funding rounds remain fairly modest compared with broader technology sectors. Source.ag stands out with €54.5 million, but most other companies operate in the range of a few million euros. This is consistent with the agri-food sector, where sales cycles are long and institutional buyers such as supermarket chains and large growers need time to adopt new technology.

For investors and policymakers in the Dutch and European context, this segment is noteworthy because food waste is both a climate issue and an economic one. The European Union has set concrete targets for reducing food waste as part of its Farm to Fork strategy. Dutch startups that can demonstrate measurable results at each link in the chain are therefore positioned at a point where regulatory pressure and market forces are pushing in the same direction.

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On our platform

OrbiskOrbiskStartupAutomatisch voedselverspilling meten en verminderen in professionele keukens30MHz30MHzStartupSensorplatform voor tuinders om groeiprocessen continu te verbeterenSource.agSource.agStartupDatasoftware helpt tuinders opbrengsten optimaliseren in kassenOneThirdOneThirdStartupAI-scanner voorspelt houdbaarheid van vers voedsel om verspilling te beperkenBlue RadixBlue RadixStartupAutonome klimaat- en irrigatiebesturing voor kassen wereldwijdAgurotechAgurotechStartupSensoren en AI-voorspellingen voor duurzame precisielandbouw

Relevant from our ecosystem

Beyond WeatherBeyond WeatherStartupOp maat gemaakte AI-weermodellen voor energie- en assetbeheerGreenAntGreenAntStartupSatellietdata en AI voor klimaatrisico en oogstvoorspellingenFieldWatch BVFieldWatch BVStartupZonne-energie en AI optimaliseren beheer en levensduur van sportparken

On our platform

OrbiskOrbiskStartupAutomatisch voedselverspilling meten en verminderen in professionele keukens30MHz30MHzStartupSensorplatform voor tuinders om groeiprocessen continu te verbeterenSource.agSource.agStartupDatasoftware helpt tuinders opbrengsten optimaliseren in kassenOneThirdOneThirdStartupAI-scanner voorspelt houdbaarheid van vers voedsel om verspilling te beperkenBlue RadixBlue RadixStartupAutonome klimaat- en irrigatiebesturing voor kassen wereldwijdAgurotechAgurotechStartupSensoren en AI-voorspellingen voor duurzame precisielandbouw

Relevant from our ecosystem

Beyond WeatherBeyond WeatherStartupOp maat gemaakte AI-weermodellen voor energie- en assetbeheerGreenAntGreenAntStartupSatellietdata en AI voor klimaatrisico en oogstvoorspellingenFieldWatch BVFieldWatch BVStartupZonne-energie en AI optimaliseren beheer en levensduur van sportparken
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Frequently asked questions

Which Dutch AI startups are working to reduce food waste in greenhouses?
Four companies focus on greenhouse monitoring and crop management: 30MHz places sensors for climate and soil measurements, Source.ag builds software for yield optimization, Blue Radix autonomously controls climate and irrigation, and Agurotech combines sensors with AI predictions for precision agriculture.
How does OneThird's AI scanner work and what is the benefit for retailers?
OneThird's AI scanner measures the actual remaining shelf life of fresh produce using spectroscopy and machine learning, regardless of the printed date. This enables retailers and distributors to base routing, pricing, and promotion decisions on measured shelf life instead of calendar dates.
What does Orbisk's device do and in which environments is it used?
Orbisk developed a device that hangs above the waste bin and automatically tracks what is discarded using a camera and weighing scale. The company focuses on professional kitchens such as restaurants, corporate canteens, and hospitals, where it provides insight into waste patterns per product.
Why are the funding rounds of these agri-food startups relatively modest?
The smaller funding rounds fit the agri-food sector, where sales cycles are long and institutional buyers such as supermarket chains and large growers need time to adopt new technology.

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