Skip to main content
Go to the home page of the European Commission (opens in new window)
English English
CORDIS - EU research results
CORDIS
Content archived on 2024-06-18

DEVELOPMENT OF A NOVEL, COST EFFECTIVE TECHNIQUE TO OPTIMISE OLIVE OIL PRODUCTION

Objective

One of the greatest challenges to the olive-oil sector is the optimization of the oil production and extraction process, given the large number of factors that must be integrated and the many variables that can affect production, such as paste fineness, mixing time and temperature. Currently, operational control of extraction equipment is generally carried out manually by an experienced operator, posing inherent problems related to subjectivity of human judgment. The standard method to control oil extraction efficiency is the measurement of oil content and moisture in the by-product using chemical extraction, which is usually performed by a laboratory external to the olive oil mill. Given that laboratory data, essential for the optimization of extraction, is obtained long after sampling, there is no access to real-time information on extraction efficiency. Consequently, the process cannot be instantly optimised. As such, SMEs consortium partners have identified a clear need to develop a real-time measurement and automatic control of critical parameters throughout the entire production process as there are currently no automatic control systems for olive-oil mills in the market. The commercial objective of the project is to develop an automatic control system to optimise the oil extraction process in terms of oil yield and working hours, and reduce the pollution levels of the resulting wastewater. Near Infrared technology and predictive control models will be researched for the improvement and maximisation of olive oil extraction. A new and specific NIR sensor, fulfilling the requirements of the olive oil industry, will be developed for on-line measurement of oil and moisture content and an automatic control system with software based on predictive control models will be developed to process sensor data and automatically optimise the olive oil extraction process.

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.

You need to log in or register to use this function

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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.

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

FP7-SME-2007-1
See other projects for this call

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.

BSG-SME - Research for SMEs

Coordinator

NTRAM GENERAL S.A.
EU contribution
€ 34 291,39
Address
CALLE VICTOR PRADERA 45
08940 Cornella De Llobregat Barcelona
Spain

See on map

Region
Este Cataluña Barcelona
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

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.

No data

Participants (9)

My booklet 0 0