Objective
Milk is an important nutrient globally: 6bn+ people worldwide consume milk and milk products. In Europe milk provides 11-14% of dietary fat supply. Today we already have 274m+ dairy cows, doubling their headcount to serve the global need for milk is not sustainable.
Health & well-being of cows are the main factors responsible for the difference in cow’s milk production. However, to improve the cattle health, the dairy farmer has to watch every single animal non-stop, 24x7, which means an unaffordable increase of at least 30% in labour costs. To address this challenge we have developed Ida, the world’s first dairy farmer’s assistant that uses artificial intelligence (AI) to learn the behaviour of cows & generate useful operational insights for the farmer.
on how to improve animals’ health & improve productivity.
Ida combines sensor technology, machine learning & cloud computing to translate raw data from the field into meaningful information that can be used to support decisions made by farmers every day. Unlike existing cow movement trackers that simply relay motion data to a central collection point, we have built Ida as a system that carries out intelligent pattern analysis.
By observing & learning how the cows behave, and by benchmarking the farm’s performance against the most efficient farms globally, Ida provides clear recommendations to the farmer.
In our feasibility assessment we have calculated that Ida will help farmers increase productivity per animal by 22%+.
We have first market traction: as of Jan 2018 Ida is already monitoring 2,000+ cows globally. With Ida in we are aiming at an annual market opportunity of at least €385m by 2023 from the overall €1.4bn global market for connected cows.
In this Phase 2 project we are requesting a €1.7m contribution to industrialize & trial Ida.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- agricultural sciences animal and dairy science dairy
- social sciences economics and business economics production economics productivity
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- agricultural sciences animal and dairy science domestic animals animal husbandry
- natural sciences computer and information sciences artificial intelligence machine learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-2 - SME instrument phase 2
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-EIC-SMEInst-2018-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1033 SE Amsterdam
Netherlands
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.