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

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.

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

rundveeloket.be

Beweiding in Europa: waar gaat de koe (nog) de wei op?

Bron: Grazing of Dairy Cows in Europe—An In-Depth Analysis Based on the Perception of Grassland Experts. Agnes van den Pol-van Dasselaar, Deirdre Hennessy en Johannes Isselstein. Sustainability 2020, 12, 1098

Standard pages

(TEST) Nec tamen ullo modo summum pecudis bonum

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agrifoodtechnology.be

Detection of hoof injuries in dairy cattle

Ourcutting-edge approach is that weuse a self-learning image processing algorithm to automatically detect this local rise in temperature. We collaborate closely with dairy farmers, professional hoof trimmers and veterinarians to ensure that the technology is easily applicable and used in the Flemish dairy sector.

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