SciTransfer
dAIry 4.0 · Project

AI-Driven Precision Milking and Feeding System for Optimized Dairy Farm Management

foodPilotedTRL 7

Imagine a smart assistant for cows that knows exactly how much they need to eat and when they are feeling sick just by looking at them. It uses cameras and sensors to check a cow's health at the teat level and suggests the best care to the farmer. It's like having a digital vet and nutritionist working 24/7 to keep the herd healthy and productive.

By the numbers
6
pilot farms providing data
5
year projection simulation for farms
The business problem

What needed solving

Dairy farmers struggle to maintain animal welfare and milk quality while reducing labor and resource waste. Current automated systems lack the intelligence to provide individualized care and proactive health alerts.

The solution

What was built

An AI-driven data platform featuring a Decision Support System, a unified milk quality analyzer, and vision modules for monitoring rumen motility and eye temperature.

Audience

Who needs this

Automated Milking System (AMS) manufacturersLarge-scale dairy farm operatorsPrecision livestock farming software developersDairy cooperatives focused on quality control
Business applications

Who can put this to work

Dairy Farming
enterprise
Target: Large-scale automated dairy farm

If you are a farm owner dealing with high labor costs and animal health risks — this project developed a Decision Support System that provides real-time recommendations for managing each cow. This allows for proactive care and better resource use across 6 pilot farms.

Agricultural Robotics
mid-size
Target: AMS Hardware Manufacturer

If you are a robot manufacturer dealing with basic automation that lacks individual animal intelligence — this project developed AI modules for rumen motility and eye temperature monitoring. These can be integrated into existing robots like the Astronaut A5 to offer premium health tracking.

Food Processing
enterprise
Target: Dairy Cooperative/Processor

If you are a milk processor dealing with inconsistent milk quality in bulk tanks — this project developed a unified milk quality analyzer with multi-stage filtration. This enables partitioning milk into separate tanks based on individual cow quality analysis.

Frequently asked

Quick answers

What is the cost or price of the system?

Based on available project data, specific pricing or cost details for the dAIry 4.0 system are not provided.

Can this be scaled to industrial levels?

The system is being tested across 6 pilot farms and includes a simulator capable of providing 5-year projection simulations for farm management, suggesting a path toward industrial scaling.

How is the IP and licensing handled?

Based on available project data, there is no specific information regarding the IP or licensing agreements for the developed AI tools.

How does this integrate with existing hardware?

The project specifically identifies requirements for integration into the LELY Astronaut A5 milking robot, including new cameras for rumen and eye monitoring.

What is the implementation timeline?

The project period runs from 2023-10-01 to 2027-03-31, with current work focusing on module integration and pilot testing.

Consortium

Who built it

The consortium is well-balanced for commercialization, featuring a 43% industry ratio with 3 industrial partners and 2 SMEs. The collaboration spans 6 countries (AT, CH, CY, EL, ES, NL), combining the academic rigor of 3 universities and 1 research center with practical application in the field.

How to reach the team

Contact CY.R.I.C Cyprus Research and Innovation Center Ltd

Next steps

Talk to the team behind this work.

Contact us to explore licensing opportunities for the dAIry 4.0 AI modules.

More in Food & Agriculture
See all Food & Agriculture projects