Objective
Over the last 25 years poultry farms, and particularly chicken farms, have been industrialised and transformed into efficient operations that can fulfil the demand for meat and eggs with nearly every step along the production process, optimised for speed and quality. Two critical processes, however, that have not yet been effectively developed are: the non-invasive detection of the fertility of eggs before they are moved to incubation and sexing (i.e. gender determination) of eggs before hatching (i.e. before the egg opens). Despite the critical economic implications and the clear benefits of performing pre-incubation fertility detection and sexing before hatching, there is currently no solution on the market that allows it. The ultimate objective for EggDetect’s business project is to bring to the global poultry industry a more efficient, cost-effective, and humane alternative to traditional methods of determining the fertility of avian eggs and the gender of the embryos before hatching to prevent the mass culling of male chickens (mass killing upon hatching by suffocation or maceration) and to increase the economic performance of hatcheries. EDU provides real-time, remote early detection of fertility and sex for a variety of eggs with an accuracy level of over 98% at the standard throughput of at least 50,000 eggs per hour. EDU guarantees substantial cost saving as well as a solution to the ethical and environmental problems associated with culling. EDU can increase annual gross profit of a layer eggs hatchery by up to 60%. EggDetect’s EDUs will be sold directly to the existing manufacturers of candling machines, which will in turn distribute the units directly to their customers, the hatcheries – either as part of newly sold candling machines or as an enhancement to existing machines. Local distributors will serve as main business partners. The machines will be updated when required providing additional market sales.
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.
- social sciences sociology demography fertility
- medical and health sciences basic medicine pharmacology and pharmacy pharmaceutical drugs vaccines
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
- social sciences economics and business economics sustainable economy
- medical and health sciences clinical medicine embryology
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
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.
-
H2020-EU.3.2. - SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.3.2.4. - Sustainable and competitive bio-based industries and supporting the development of a European bioeconomy
See all projects funded under this programme -
H2020-EU.3.2.1. - Sustainable agriculture and forestry
See all projects funded under this programme -
H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
See all projects funded under this programme -
H2020-EU.3.2.2. - Sustainable and competitive agri-food sector for a safe and healthy diet
See all projects funded under this programme
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
See all projects funded under this funding scheme
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-SMEInst-2016-2017
See all projects funded under this callCoordinator
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.
7177625 MODI'IN MACCABIM RE'UT
Israel
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.