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dAIry 4.0

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Advanced, trustworthy AI and data solutions for individualised automated milkin...

Advanced, trustworthy AI and data solutions for individualised automated milking & feeding of dairy cows The agricultural sector has a big challenge: producing more with fewer raw materials and less adverse effects on society, production animals, climate and biodiversity. Optimal use of resource is even more important now, due to the... see more

31/03/2027

CY.R.I.C CYPRUS RE...

4M€

Project Budget: 4M€

Project leader

CY.R.I.C CYPRUS RESEARCH AND INNOVATION CENTE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

Ver 7 Participantes

Financing granted El organismo HORIZON EUROPE notifico la concesión del proyecto The day 2023-06-26

HORIZON-CL4-2022-DIGITAL-EMERGING-02-19: 2D materials-based devices and syst... ExpectedOutcome:Proposal results are expected to contribute to the following expected outcomes:

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characteristics of the participant

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Private Information

No hay información privada compartida para este proyecto. Habla con el coordinador.

7 Participantes

CY.R.I.C CYPRUS RESEARCH AND...

504.44K€ | Leader

TU WIEN

398.97K€ | participant

ARISTOTLE UNIVERSITY OF THES...

400.00K€ | participant

Lely

840.70K€ | participant

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Project duration: 45 months Date Start: 2023-06-26
End date: 2027-03-31

Project leader

CY.R.I.C CYPRUS RESEARCH AND INNOVATION CENTE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 4M€

participation deadline Sin fecha límite de participación.

Project description The agricultural sector has a big challenge: producing more with fewer raw materials and less adverse effects on society, production animals, climate and biodiversity. Optimal use of resource is even more important now, due to the imminent food crisis. Climate-friendly sustainable agriculture, with care for natural resources, is essential for our food production and quality of life, today and for future generations. Automated Milking Systems (AMS) were developed in the late 20th century under the perspective of reducing manual labour & costs and improving quality of life for the farmers. Not only have these machines improved in harvesting milk efficiently, but they also have the added ability to collect a greater amount of data about production, milk composition, cows health and behaviour. This could allow producers to make more informed management decisions, while in parallel reducing emissions and increasing animal welfare. Nevertheless, currently available AMS have important limitations in terms of optimising their operation. dAIry 4.0 addresses these challenges, integrating and optimising AI, data and robotics solutions to demonstrate how this combination will optimise AMS production aspects and minimise adverse effects on society, climate and biodiversity. The approach will be demonstrated through real-world use cases of interest both for the farming sector and the food industry. In terms of AI tools to be used, the project will focus on the following novelties: - Developing multimodal learning techniques to efficiently utilize multiple types of information for animal health & overall animal status monitoring - Developing self-supervised and novel data augmentation techniques to reduce the amount of labelled training data needed - Exploring novel explainable AI techniques to increase transparency of the system and eventually facilitate acceptance by the users - Including the farmer in the loop to build the cognitive abilities for the system

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