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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Lien Smeesters, B-PHOT Brussels Photonics Team is Moderator of the ACTPHAST session

Lien Smeesters

Lien Smeesters from B-PHOT Brussels Photonics Team, Vrije Universiteit Brussels is Moderator of the ACTPHAST session at the Smart Farming Conference 2021.

Lien Smeesters is a post-doctoral researcher within the B-PHOT Brussels Photonics Team at the Vrije Universiteit Brussel (VUB). She focuses on multidisciplinary and applied-oriented research in the field of optical spectroscopy and optical design.

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e-shape – EU CAP Support Pilot: A machine learning enabled system for dynamic phenology estimation and yield prediction using satellite and in-situ observations

Vassilis Sitokonstantinou

by Vassilis Sitokonstantinou, National Observatory of Athens / Beyond Center of Earth Observation Research and Satellite Remote Sensing

Under the framework of e-shape H2020 EU project and the S1P2 EU CAP Support pilot, a number of novel services are developed as an integrated smart farming system; targeting farmers, farmers’ associations, paying agencies of the Common Agricultural Policy (CAP), but also the agri-insurance sector. The services comprise of the near-real time identification of the onset of key phenological stages and the timely prediction of yield.

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Costs and unfamiliarity with new technologies are barriers for their implementation

livestock

says Lenny van Erp, Professor (UAS) Precision Livestock Farming, HAS University of Applied Sciences and moderator of the Smart Farming Conference about new technologies.

About Lenny van Erp
Lenny van Erp has an MSc in Animal Science and a PhD in Veterinary Science, with farm animal health and behaviour as her field of expertise. She focuses on precision livestock farming, with projects on (sensor)technology and data in farm animals. At HAS University she initiated the Precision Farming Platform and the Minor Smart Farming.

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