How technologies can help the agroecological transition

Vincent Levavasseur

Vincent Levavasseur will speak at the 2021 edition of the Smart Farming Conference

Interview

What drives you?
My passion is to help farmers to succeed in the agroecological transition using the right tools and the good networks. There are big challenges today in agriculture where agroecology can fully bring responses at the economic, environmental and social levels. Our challenge is to scale up agroecology.

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The value of Point Of Care (POC) for egg quality and safety: The case of antibiotics and mycotoxins detection

Georgios Manessis

Rapid, on-site assessment of potential risks that compromise food safety and quality can play a key role in maintaining the agricultural sector’s sustainability and profitability. POC diagnostics and tests have proven indispensable tools for screening. Considering that eggs are a cheap and excellent source of protein, the volume of eggs produced in EU and the industry’s profitability, investments on new technologies that reassure food safety from “farm to fork” are justified. Early detection of antibiotics and mycotoxins, in view of their impact on health, is crucial for the successful implementation of the “farm to fork” approach.

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H2020 project GRACED: A novel, ultra-compact plasmo-photonic bimodal multiplexing sensor platform for food quality monitoring

Evangelia Chatzianagnostou

An ultra-compact multiplexing sensor platform based on a novel plasmo-photonic bimodal interferometric sensor, combined with low cost on-chip light generation will be presented. The sensor will be capable of simultaneously and quickly detecting different analytes of interest and will be part of a holistic, modular solution that exploits unique engineering designs, IoT concepts and advanced data analytics, for the early detection of contaminations in the fruit and vegetables (F&V) value chains.

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Photonic devices and monitoring techniques for the wine industry

tatevik chalyan

The use of oak barrels for wine ageing is a widespread technique due to the ideal physical and structural properties of oak wood. The oak barrel is an active, interactive container that releases aromatic compounds and tannin when wet while allowing oxygen to penetrate and largely determines the characteristics of produced wine. The level of release of characteristics compounds to the enclosed wine decreases for repeated wine fillings and after a number of refills the barrel must be replaced.

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Optical spectroscopy and machine learning enhancing food sorting

jan de jonghe

Optimum Sorting develops and manufactures optical sorting machines for the food processing industry, mainly focusing on the sorting of potato products, candy, vegetables, nuts and dried fruits. Optimum’s sorting machines detect foreign materials in real time at high capacity, using the principles of light reflection, scattering and fluorescence. We will present a selection of results of an Actphast project in which we explored the potential of spectroscopy and the combination with machine learning to improve the detection of difficult defects in certain types of nuts.

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Optical fiber sensors for the assessment of oak barrels used in wine aging

maria konstantaki

Maria Konstantaki Aging in oak barrels, gives wine its unique mouthfeel and bouquet character due to the release of tannins and aromatic compounds. The limited availability of oak in conjunction with the demanding barrel fabrication process increases the cost of oak barrels.

Furthermore, oak barrels have a limited lifespan of use and after a number of repeated usage in wine aging they must be replaced. Currently the assessment of the condition of an oak barrel is empirical and thus subjective. A quantitate assessment method would limit cost and improve wine quality and productivity.

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Water quality monitoring using RGB cameras

indy magnus

Indy Magnus: In this presentation, we will explain how a ‘Water-Quality Early Alert System’, enabling the remote, continuous and real-time monitoring of water using RGB cameras is being developed. Generally, the idea is to correlate the RGB camera images to a variety of physicochemical parameters and biological parameters without direct contact or the need of water samples. By doing a spectroscopic study of water with different parameters, using both a spectroradiometer and hyperspectral camera, the RGB camera outlook (filters, lenses) can be optimized. Machine learning techniques are employed to process the high-dimensional data and push the sensing performance even further.

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Deep Tech and Water quality Early Alert

Pablo Perez

Pablo Perez: Deep Tech: A game changing solution aiming the intersection of three disciplines: software combined with hardware and spectroscopy. A Water-quality Early Alert System (WEAS) based on water pictures analysis to remotely (in-situ) and real time evaluate water parameters (Color, Turbidity, pH, Conductivity, DO, COD, BOD, SS, Amonia) at any sampling point using water images, in a easy to use and cost effective way.

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