SciTransfer
HAYTECH AI · Project

AI-Powered Hay Monitoring System to Increase Milk Yield and Reduce Feed Waste

foodPilotedTRL 7

Imagine having a digital thermometer and a smart brain inside every bale of hay in your barn. Instead of guessing if the hay is spoiling or might catch fire, sensors send real-time data to an app. This tells the farmer exactly how nutritious the feed is, so they can feed their cows the best possible diet.

By the numbers
1.5 – 2 %
increase in milk yield
10 %
reduction in hay losses
85 %
accuracy for CP and NDF predictions
53 %
reduction in manufacturing cost
1 km
wireless range of base station
The business problem

What needed solving

Dairy farmers lose up to 30% of stored hay to uncontrolled fermentation, which reduces milk yield and increases CO2 emissions and fire risks.

The solution

What was built

A full AI stack consisting of wireless IoT temperature probes, a cloud platform (HAYTECH.app), and predictive models for nutritional quality.

Audience

Who needs this

Commercial dairy farm ownersAgricultural machinery distributorsPrecision livestock feeding consultantsForage quality inspectors
Business applications

Who can put this to work

Dairy Farming
mid-size
Target: Commercial Dairy Farm

If you are a dairy farm owner dealing with nutrient loss and spoilage in stored forage — this project developed an IoT probe and AI system that increases milk yield by 1.5 – 2 % and reduces hay losses by approximately 10 %.

Agricultural Machinery
enterprise
Target: Farm Equipment Manufacturer

If you are an equipment manufacturer dealing with a lack of digital forage management tools — this project developed a scalable hardware architecture with a 1 km wireless range that can be integrated into farm management ecosystems.

Agri-Tech Services
SME
Target: Precision Farming Consultant

If you are a consultant dealing with inefficient ration planning for clients — this project developed a Feed Value Indicator (FVI) tool that predicts nutritional quality with 85 % accuracy for CP and NDF values.

Frequently asked

Quick answers

What is the cost of the system?

Based on available project data, the specific retail price is not listed, but the manufacturing cost of the hardware was reduced by 53 % during the project.

Can this be deployed at an industrial scale?

Yes, the system is designed for scale, supporting over 2,400 probes per base station with a wireless range of approximately 1 km.

How is the intellectual property handled or licensed?

Based on available project data, the technology is developed by Quanturi Oy, who has already established distribution partnerships with John Deere and Farmscan.

When will the product be available for the market?

Quanturi aims to introduce HAYTECH to the dairy industry in 2025.

How does the system integrate with existing farm data?

The probes transmit data to a secure cloud platform (HAYTECH.app) which integrates temperature readings with agronomic and environmental data via machine-learning models.

Consortium

Who built it

The project is led by a single SME, Quanturi Oy (Finland), which maintains 100% industry control. With a team of 15 FTEs and a lean structure, the coordinator has successfully transitioned from research to market validation, securing high-profile distribution partners like John Deere and Farmscan.

How to reach the team

Contact Quanturi Oy regarding the 2025 commercial launch of HAYTECH AI.

Next steps

Talk to the team behind this work.

Contact us to explore integration opportunities with Quanturi's AI-driven forage analytics.

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