Publikasjoner
NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.
2025
Forfattere
Åsa Maria Olofsdotter Espmark Endre Grimsbø Sonal Patel Espen Rimstad Kristin Opdal Seljetun Marco Vindas Erik Georg Granquist Grete H. M. Jørgensen Janicke Nordgreen Ingrid Olesen Amin Sayyari Tor Atle MoSammendrag
VKM has assessed animal welfare during stunning and killing of farmed fish in Norway. This report gives an overview of species differences which have significance for the slaughter procedures. The general conclusion is that there is a general lack of scientific documentation to meet the legislation stating that fish must remain unconscious after stunning until death by exsanguination. VKM also finds a risk of reduced animal welfare due to lack of documentation of the time from gill or cardiac cutting to cessation of brain activity. Further research and documentation are needed to understand how different behavioural and physical measurements conducted at the slaughter facility, correspond with the electroencephalogram (EEG) measurements of unconsciousness.
Forfattere
Vahe Atoyan Thomas Georges A Bawin Laura Jaakola Anna AvetisyanSammendrag
Hyperspectral imaging (HSI) captures rich spectral data across hundreds of contiguous bands for diverse applications. Dimension reduction (DR) techniques are commonly used to map the first three reduced dimensions to the red, green, and blue channels for RGB visualization of HSI data. In this study, we propose a novel approach, HSBDR-H, which defines pixel colors by first mapping the two reduced dimensions to hue and saturation gradients and then calculating per-pixel brightness based on band entropy so that pixels with high intensities in informative bands appear brighter. HSBDR-H can be applied on top of any DR technique, improving image visualization while preserving low computational cost and ease of implementation. Across all tested methods, HSBDR-H consistently outperformed standard RGB mappings in image contrast, structural detail, and informativeness, especially on highly detailed urban datasets. These results suggest that HSBDR-H can complement existing DR-based visualization techniques and enhance the interpretation of complex hyperspectral data in practical applications. Tested in remote sensing applications involving urban and agricultural datasets, the method shows potential for broader use in other disciplines requiring high-dimensional data visualization.
Forfattere
Finn-Arne HaugenSammendrag
Det er ikke registrert sammendrag
Forfattere
Finn-Arne HaugenSammendrag
Det er ikke registrert sammendrag
Forfattere
Finn-Arne HaugenSammendrag
Det er ikke registrert sammendrag
Forfattere
Finn-Arne HaugenSammendrag
Det er ikke registrert sammendrag
Forfattere
Finn-Arne HaugenSammendrag
Det er ikke registrert sammendrag
Forfattere
Finn-Arne HaugenSammendrag
Det er ikke registrert sammendrag
Forfattere
Finn-Arne HaugenSammendrag
Det er ikke registrert sammendrag
Forfattere
Christian Levers Marcel Schwieder Petra Dieker Stefan Erasmi Roberto Azofeifa Rodríguez Ulrike Bayr Ana Julieta Calvo Obando Wendy Fjellstad Satsuki Furubayashi Janne Heliölä Felix Herzog Terho Hyvönen Linda Ieviņa Pēteris Lakovskis Eliane Meier Hannu Ojanen Timo Pitkänen Walfrido Moraes TomasSammendrag
This paper outlines the rationale for, and the current state of, mapping habitat diversity. It provides an overview of progress in assessing and monitoring farmland habitat biodiversity at the national level, in line with the proposed OECD Farmland Habitat Biodiversity Indicator (FHBI). The paper describes pilot studies by eight countries, summarising the approaches to mapping habitats, assessing habitat quality, and implementing the FHBI at the national level. Drawing from the experience of the FHBI pilot countries, this paper offers general guidelines for defining habitats and assigning biodiversity values of habitats for calculation of the FHBI. It provides guidance on selecting the appropriate tier level for data acquisition, processing, and reporting, and summarises strengths, weaknesses and opportunities of the current FHBI structure used in the pilot studies.