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Photo: In 2018, a Danish team from University of Southern Denmark won the first prize of 1000 EUR.

2021.02.24 | DCA, Agro

European student competition 2021: Bioeconomic innovation in focus

Danish students are again this year encouraged to form interdisciplinary teams and participate in BISC-E, the Biobased Innovation Student Challenge Europe. The Danish winner will compete with the winners from other EU countries to win the European championship and price.

Photo: Junxiang Peng

2021.02.19 | PhD defense, News, Agro

PhD defence: Smart farming on the rise – using drone and satellite data to manage fertilization and irrigation

During his PhD study, Junxiang Peng explored the potential of drone and satellite (Sentinel-2) multispectral and thermal data for estimating plant biomass, nitrogen deficiency and drought stress.

Photo: Søren Kjeldgaard; AU-foto

2021.02.12 | News, Agro, DCA

Water transport in soil macropores mapped

Researchers from Aarhus University have mapped water transport in soil macropores in Denmark. The mapping can, among other things, be used to identify risk areas in relation to phosphorus or pesticide leaching.

The project GrainLegsGo wants to raise awareness about the quality and potential of producing fresh organic grain legumes for human cinsumption. Photo: Colourbox

2021.02.11 | News, Agro, DCA

More beans and peas, please

“Eat your peas” is not just sternly yelled at picky children. A lot of good reasons to eat legumes exist. Slowly, the grain legumes get more and more attention in Denmark as well. Michelin chef Francis Cardenau praises them, and edamame beans have transitioned from sushi restaurants to almost every supermarket. Nonetheless, in Denmark, grain…

Photo: Yannik Elo Roell

2021.02.11 | PhD defense, Agro

PhD defence: Land suitability assessment using machine learning: A comparison between point-based and raster-based terron methods

During his studies, Yannik investigated land suitability across Denmark using terron methodology. Terrons are created by combining machine learning with soil, climate, and landscape variables. Yannik utilized two different methods (i.e. point-based and raster-based) for generating terrons and validated the resulting maps using data on agriculture…

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