Objective
The main way to maintain a sustainable and competitive fruit production in especially through development and implementation of labellling of products by national or EC marks of quality using organoleptic criteria.
In order to improve the quality and to facilitate the control by objective methods, in conformity with areas 4.2.2 and 4.2.3 "Quality policy; instruments and organization" of EC FAIP~ programme, the project's aims at developping a feasability prototype of an instrumented glove, equipped with non destructive miniaturised sensors and artificial intelligence, able to measure, control and certify the quality of handed fruits.
The main innovation consists of miniaturisation of sensors and their positioning directl on the hand of the user (controller, sorter,..) by the intermediary of a specific glove. And of helping the user by artificial intelligence able to help him to take the adequate decision about the quality level.
This glove will be used to :
- Give objective analytical parameters of fruit quality and allow for non destructive
- Facilitate the individualisation of able to be labelled fruits;
- Improve, without suppressing any job, the quality of the harvest;
- Permit a better sorting of fruit with more uniform quality and according to the consumers requirements;
- Facilitate the comparison of products by easy and non destructive quality control.
This project of transnational collaboration links a balanced partnership including specialists of sensing principles, developpers and end-users for market study and the field test validation.
This glove is more accurate than a classical on-line sorting because :
- It uses non-destructive sensors not, at this day, usable on-line (such as sugar content sensors);
- By its neuro-fuzzy artificial intelligence, it can learn rapidly a new specification sheet for a particular customer or a new label or certification
- It is more flexible than a on-line sorting machine;
- It increases the efficiency of manual sorters very used for fragile fruits (s as peaches and apricots) or big fruits (such as melons);
- It can be used by controllers during all the transportation way from producin area to the shop-shelf of fruits to control the quality certification by the grading techniques.
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 artificial intelligence
- agricultural sciences agriculture, forestry, and fisheries agriculture horticulture fruit growing
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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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.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
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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.
Coordinator
34033 MONTPELLIER
France
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.