Project description
New dashboard helps farmers monitor animals
Precision livestock farming (PLF) aims to support farmers in making daily management decisions. With the use of cameras and image analysis, microphones and sensors around or on the animals, PLF applications can measure, analyse and warn when something goes wrong. However, the complexity of the technology has slowed down the uptake of PLF technologies on commercial farms. For instance, software compatibility issues for different hardware makes it tricky to interpret the data. The EU-funded Smart Farm 4.0 will develop a cloud-based platform, integrating the hardware needed for the monitoring of a farm with a single software. The data is then presented to the farmer on an easy-to-use dashboard. By understanding the data, farmers will be able to take action.
Objective
The EU livestock sector is the largest in the world, and meat, milk, and eggs make up 40% of the EU’s agricultural production value. It accounts for 48% of total EU agricultural activity, with an estimated €130bn output value annually. The sector has been dealing with numerous challenges such as animal welfare, foreign competition, environmental impact, and antibiotic resistance, but technologies such as Precision Livestock Farming can help face these challenges, as has already been demonstrated by the EU-PLF project. However, existing Precision Livestock Farming (PLF) solutions on the market are not being adopted by farmers due to the complexity of the technology (e.g. different software for different hardware, sensor data in different formats), the lack of support, data storage limited capacities, and the difficulty interpreting and visualizing gathered data. Thus, due to their poor design, not having in mind end-users' technological limitations, these systems can't really translate into productivity gains, nor provide a return on investment in the short-term, which is the overriding reason to adopt PLF.
Paintec SL, company specialized in providing services for the agricultural sector based on technologies and Big Data analysis, has developed SmartFarm 4.0 aware of the value data can have for farmers and other stakeholders in the supply chain. SmartFarm 4.0 is a PLF cloud-based platform integrating the hardware needed for a complete 3600 monitoring of the farm with a single software. Relevant data from the farm is presented to the user through an intuitive dashboard with alerts in those areas that need attention, so that the user can take immediate action. By understanding the data, farmers can take action, thus our system really translates into a ROI of more than €2 per euro invested. Additional advantages from our solution are unlimited data storage, improved data security, easy access to data by other stakeholders, periodic updates and full customer support.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences computer security data protection
- social sciences economics and business business and management business models
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- agricultural sciences animal and dairy science domestic animals animal husbandry
- medical and health sciences basic medicine pharmacology and pharmacy drug resistance antibiotic resistance
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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.
50617 EL SABINAR
Spain
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.