Project description
Diagnostic monitoring to keep cows healthy
Dairy cows are affected by several diseases related to lactation and pregnancy that are fatal for them. It is estimated that cow mortality due to these diseases is between 20 and 40 % of the livestock. This results in huge economic losses for the industry and further environmental damages. Existing solutions meet only one or two aspects of animal welfare while depending on a few parameters that are not always reliable. The EU-funded rumicon project is developing the first holistic and diagnostic monitoring solution that counts a wide range of direct and indirect parameters covering all aspects of cow welfare. It consists of a bolus sensor integrated into the rumen cow stomach that sends data to a cloud-based system to be processed with machine learning and algorithms.
Objective
High performance dairy cows have a reduced lifespan (from 5.4 years on average to 20) and high mortality, due to the number of diseases associated to pregnancy/lactation. This represents a major environmental and economic issue for dairy farmers: only in Germany, around €2.1 billion are lost each year due to forced cattle rejections.
Holistic monitoring systems are greatly needed to improve cow’s welbeing and minimize cattle forced rejection rates (currently 20-40% of the livestock). However, current monitoring solutions focus only on one or two aspects of cow’s wellbeing (oestrus, calving, health status or feeding), and rely on just a few parameters which may not be entirely reliable (e.g. rumen pH measurements).
rumicon is the first holistic and predictive monitoring system for dairy cows. Integrated into the rumen stomach of heifers, our bolus sensor measures a great variety of parameters (both direct and indirect), including rumen’s motility - the most accurate health indicator in ruminants. In this way, our system is the first one to monitor ALL aspects of cow’s wellbeing with a single device. The gathered data is sent to a cloud base computing system, which processes it with Machine Learning algorithms and creates charts and tables. Thus, all information is easily accessible, and alarms/notifications are directly sent to farm managers and veterinarians when needed, for them to take action before the problem affects milk production. In this sense, by using our system, farmers will be able to extend their herd’s life expectancy by 20-30% (up to 7 years), reducing cattle forced departures in 25%.
Moreover, for our company, dropnostix gmbh, rumicon will be the core pillar of our business, with which we aim to reach about 1,600 large dairy farms and revenues of €17.13 million in the first 5 years of commercialization. For this purpose, we will rely on a solid value chain within the European dairy industry, including key institutions and cattle associations.
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
- medical and health sciences clinical medicine obstetrics
- 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-1 - SME instrument phase 1
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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.
14471 POTSDAM
Germany
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.