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.
AI-Driven Precision Milking and Feeding System for Optimized Dairy Farm Management
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.
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.
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.
Who needs this
Who can put this to work
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.
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.
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.
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.
Contact CY.R.I.C Cyprus Research and Innovation Center Ltd
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Contact us to explore licensing opportunities for the dAIry 4.0 AI modules.