Explore the words cloud of the EDU project. It provides you a very rough idea of what is the project "EDU" about.
The following table provides information about the project.
|Coordinator Country||Israel [IL]|
|Total cost||71˙429 €|
|EC max contribution||50˙000 € (70%)|
1. H2020-EU.3.2.4. (Sustainable and competitive bio-based industries and supporting the development of a European bioeconomy)
2. H2020-EU.3.2.1. (Sustainable agriculture and forestry)
3. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
4. H2020-EU.3.2.2. (Sustainable and competitive agri-food sector for a safe and healthy diet)
|Duration (year-month-day)||from 2017-06-01 to 2017-09-30|
Take a look of project's partnership.
|1||EGGDETECT LTD||IL (MODI'IN MACCABIM RE'UT)||coordinator||50˙000.00|
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.
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The information about "EDU" are provided by the European Opendata Portal: CORDIS opendata.
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