Visit from American University of Beirut

Watch the PhD Stud Yara Rizk present ECE, AUB for our group at ECE, AU

Presented by Ph.D. Student Yara Rizk, American University of Beirut (AUB) at Aarhus University, Department of Engineering

Yara Rizk from the Department of Electrical and Computer Engineering at the American University of Beirut (AUB) visits Aarhus University to present some of the work done in the Human Machine Interaction and Machine Learning lab at AUB.

PhD defence: Anders Krogh Mortensen

Anders’ PhD defence presentation can be seen in the video below.

PhD defense of Anders Krogh Mortensen for the thesis “Estimation of Above-Ground Biomass and Nitrogen-Content of Agricultural Field Crops using Computer Vision”.

The thesis investigates yield estimation derived from RGB images and coloured 3D point clouds. Image segmentation methods based on image processing, handcrafted feature extraction, and deep learning is investigated. Furthermore, a novel method for segmenting lettuce in 3D coloured point clouds is proposed. Several yield models based on the segmented crops are investigated.

The research findings have shown that recent advances in deep learning can be transferred to segmentation of (mixed) crops. It was further shown, that (simple) growth models can be improved using crop coverage to explain the local variations in the crop.

PhD student:
Anders Krogh Mortensen: http://pure.au.dk/portal/en/anmo@agro…

PhD Supervisors:
Associate Professor: René Gislum: http://pure.au.dk/portal/en/rg@agro.a…
Professor Henrik Karstoft: http://pure.au.dk/portal/en/hka@eng.a…

This PhD project is part of the VIRKN project supported by a grant from the Green Development and Demonstration Program (GUDP) granted by the Danish Ministry of Environment and Food and the Future Cropping project supported by a grant from Innovation Fund Denmark.
– VIRKN: http://mst.dk/erhverv/groen-virksomhe…
– Future Cropping: https://futurecropping.dk/
– GUDP: http://mst.dk/erhverv/groen-virksomhe…
– Innovation Fund: https://innovationsfonden.dk

Weed recognition demo

Inspired by yesterday’s visit to Agritechnica and the booths by Bayer/Xarvio/Bosch demonstrating precision weed localization and spraying, I decided to make a small video of the our current weed-decrimination capabilities:

/ Mads Dyrmann

Re-release of plant seedlings dataset

The plant seedlings dataset, made in collaboration with University of Southern Denmark and Aarhus University in Flakkebjerg, has how been moved to this site.
The dataset contains images of approximately 960 unique plants belonging to 12 species at several growth stages. Take a look at it here.

Database sample

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