Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2021
Abstract
No abstract has been registered
Authors
Ivanka Ćirić Milica Sredojević Dragana Dabić Zagorac Milica Fotirić-Akšić Mekjell Meland Maja NatićAbstract
Berry fruits (such as strawberry – Fragaria × ananassa, raspberry – Rubus idaeus, blackberry – Rubus fruticosus, currants – Ribes sp., blueberry – Vaccinium sp., and many others) are known for their health benefits due to their richness in sugars, acids, vitamins, minerals, phenolics, and other nutrients. However, their contents are influenced by various factors, such as species, berry cultivar, ripeness, geographical origin, and growing conditions, and the type of extraction and processing of raw seed material. Generally, the berry industry for juice and fruit-wine production produces vast amounts of by-products (mostly seeds). Since berry seeds contain lipids, these by-products are very interesting as a raw material for oil production. As berry seed oil production generates certain waste, strategies towards reducing and valorizing need to be developed. Unlike beery fruits and berry seed oil, whose composition has been tested many times so far, berry seed oil by-products were the subject of a small number of published papers. Due to chemical richness and heterogeneity, it is expected that berry seed oil by-products to be promising natural bio-resource. Still, it is necessary to consider how many other biologically valuable compounds remain in seed waste.
Authors
Andrii Butkovskyi Yuying Jing Hege Bergheim Diana Lazar Ksenia Gulyaeva Sven R. Odenmarck Hans Ragnar Norli Karolina M. Nowak Anja Miltner Matthias Kästner Trine EggenAbstract
No abstract has been registered
Authors
Stefano Puliti Grant Pearse Michael Watt Edward Mitchard Ian McNicol Magnus Bremer Martin Rutzinger Peter Surovy Luke Wallace Markus Hollaus Rasmus AstrupAbstract
No abstract has been registered
Authors
Maria Papale Carmen Rizzo Gabriella Caruso Stefano Amalfitano Giovanna Maimone Stefano Miserocchi Rosabruna La Ferla Paul Eric Aspholm Franco Decembrini Filippo Azzaro Antonella Conte Marco Graziano Alessandro Ciro Rappazzo Angelina Lo Giudice Maurizio AzzaroAbstract
No abstract has been registered
Authors
Niels Strange Peter Bogetoft Giovanna Ottaviani Aalmo Bruce Talbot Anders Holm Holt Rasmus AstrupAbstract
No abstract has been registered
Authors
Stefano Puliti Johannes Breidenbach Johannes Schumacher Marius Hauglin Torgeir Ferdinand Klingenberg Rasmus AstrupAbstract
No abstract has been registered
Abstract
No abstract has been registered
Authors
Stefano Puliti Grant D. Pearse Michael S. Watt Edward Mitchard Ian McNicol Magnus Bremer Martin Rutzinger Peter Surovy Luke Wallace Markus Hollaus Rasmus AstrupAbstract
Survey-grade laser scanners suitable for drones (UAV-LS) allow the efficient collection of finely detailed three-dimensional (3D) information on tree structures allowing to resolve the complexity of the forest into discrete individual trees and species as well as into different component of the tree. Current developments are hindered by the limited availability of survey-grade UAV-LS data and by the lack of a publicly available benchmark dataset for developing and validating methods. We present a new benchmarking dataset composed of manually labelled UAV-LS data covering forests in different continents and eco-regions. Such data consists in single-tree point clouds, with each point classified as either stem, branches, and leaves. This benchmark dataset offers new possibilities to develop single-tree segmentation algorithms and validate existing ones.
Abstract
No abstract has been registered