Search results for Image analysis

Research projects

Smart Farming 4.0 – IN4.0 ready hyperspectral image processing platform for disease detection in agriculture and fruit growing

In the project 'Proeftuin Smart Farming 4.0 ', the researchers choose two plant disease cases in which they want to raise the digital image recognition and the diagnostic interpretation to a (near) market ready level. First, it concerns alternaria (a fungal disease) in potato cultivation and, second, fire blight in apple and pear cultivation.

Smart Farming 4.0 – IN4.0 ready hyperspectral image processing platform for disease detection in agriculture and fruit growing

News | 20/05/2021

How do you go through thousands of papers? - Screening and analysis of existing methods and protocols for plastic pollution monitoring

- Screening and analysis of existing methods and protocols for plastic pollution monitoring

Harmonizing methods requires the gathering of existing methods and an analysis of their strengths and weaknesses. The first work package of EUROqCHARM is now generating that specific inventory for monitoring methods targeting plastic pollution. And it is not a small task to do …

Research projects

Main research questionThe overall objective of Nema Sensing is early detection of quarantine nematodes using remote sensing and image analysis.

Research projects

EMPHASIS-Belgium - “phenotyping the future crops”

Plant phenotyping covers the description and characterization of such complex plant traits using non-destructive image analysis-based tools in the context of plant research and crop breeding.

Living Labs

Plant Living Lab

You can rely on our multidisciplinary team of experts: Soil life, soil management, compost technology, crop substratesTrial field managementPhenotyping based on image analysis, modeling of crop growthInnovative crops and production systemsBreeding techniques and new breeding conceptsSeed technologyMolecular biological research, genomics, bioinformaticsBiotic

Dossiers

Precision livestock farming

We do this using sensors (such as RFID) or image processing (2D or 3D). Detection of lameness and claw lesions Detection of lameness and claw lesions is important and we have many years of experience in this field with both dairy cattle and sows.

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