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.
2026
Sammendrag
Markdag på Apelsvoll
Sammendrag
Markvandring med resultater, sortsevaluering og jordbærapp på Apelsvoll
Sammendrag
Markdag med orientering om prosjektet, forsøk og resultater
Forfattere
Pia BorgSammendrag
Presentasjon av rapporten "Evaluering av regionale miljøtilskudd"
Forfattere
Emilie SandellSammendrag
Hvordan kan ugras i gangene mellom bed håndteres uten kostbart utstyr? Gangene mellom bed er nødvendige i en markedshage – men de kan også bli en vedvarende ugrasutfordring. NIBIO har undersøkt om lett tilgjengelige materialer som gras, ull og spon kan gjøre skjøtselen enklere. Forsøket bygger på utfordringer løftet fram av erfarne markedshageprodusenter.
Sammendrag
Neural Radiance Fields (NeRF) have been widely adopted for reconstructing high-quality 3D scenes from 2D RGB images. However, achieving accurate 3D object segmentation within these reconstructed scenes remains challenging. Existing NeRF-based segmentation methods either rely on post-processing (SA3D), which produces noisy point clouds due to the absence of density field optimization, or employ joint training with additional segmentation heads (FruitNeRF), which can lead to suboptimal performance due to conflicting learning objectives. In this work, we propose InvNeRF-Seg (Input-substitution NeRF for Segmentation), a two-stage fine-tuning strategy for 3D object segmentation that preserves the original NeRF architecture and loss function entirely. We first train a standard NeRF on RGB images and then fine-tune it using 2D segmentation masks formatted as RGB-like inputs, without introducing any architectural modifications or additional loss functions. This input-substitution approach reshapes the density field to align with object regions while suppressing background density. We validate InvNeRF-Seg through comprehensive ablation studies examining the roles of density and color MLPs, loss function choices, and training strategies. Field density analysis reveals consistent semantic refinement: densities of object regions increase while background densities are suppressed. Experiments on synthetic fruit datasets and real-world soybean imagery demonstrate that InvNeRF-Seg produces cleaner 3D segmented point clouds compared to both SA3D and FruitNeRF, enabling more accurate downstream object counting. The method is further validated on a self-collected soybean dataset to demonstrate its applicability in real-world agricultural scenarios.
Sammendrag
In Norway, agroclimatic zones (ACZs) are a valuable tool for national analyses in subject areas concerning the optimized management of agricultural land resources. However, current Norwegian ACZs have been criticized for having an outdated standard climate normal (1931–1960), a limited representation of the local climatic variation, a lack of important model parameters, and weak methodological documentation. Therefore, this paper presents new ACZs for Norway that address these weaknesses. The most significant methodological updates are the use of the standard climate normal of 1991–2020, additional weather data variables, the downscaling of weather data to 250 m hexagons, and the incorporation of phenological crop models for spring wheat, spring barley, and forage grass. The grass model was calibrated with the number of grass harvests at research stations, while the grain models were calibrated with subsidy claim data. The modeled zones for the three crops were combined into the general ACZs. Example maps of the crop zones and new ACZs for the selected regions and the whole country are presented. The new ACZs are more robust, agronomically relevant, and better aligned with the current climatic conditions in Norway. The deliberate exclusion of factors other than climate ensures the new ACZs’ national comparability and their applicability in policy development, land-use planning, climate adaptation, and agronomic assessments at the national scale.
Sammendrag
Defibrert trefiber testes av stadig flere dyrkere, enten som del av en blanding, eller som enkeltstående vekstmedium. Et spørsmål vi ofte blir stilt er hvor mye kalk substratet med trefiber trenger. Trefiber har lav pH når den er fersk, nesten tilsvarende torv, og det har fått mange til å anta at de skal behandles likt. Det er feil. Den lave pH-en forsvinner raskt ved oppstart av planteproduksjon, og kalker du som du ville gjort med torv, blir det surr.
Forfattere
Henk Maessen Siv Mari Aurdal Tomasz Leszek Woznicki Krzysztof Kusnierek Trond Haraldsen Anita SønstebySammendrag
Bruk av trefiber vil redusere miljøbelastningen ved å erstatte energikrevende steinullproduksjon med et fornybart materiale basert på rest-råstoff fra norsk skogindustri. Ved endt bruk kan trefibermaterialet komposteres, brukes som jordforbedringsmiddel eller brennes for energigjenvinning, i motsetning til steinull som ender på deponi. Etter lovende resultater med Fibergrow® trefibermatter i tomat i 2022 og 2023, gjennomførte vi nye forsøk i 2025 for å bekrefte disse funnene.
Sammendrag
This paper describes from a methodological point of view a recent attempt to test how Historic Landscape Characterisation (HLC) as developed with respect to the British landscape can be adapted and applied to the different and distinctive landscapes of a Norwegian upland territory, on the edges of the Hardangervidda plateau. This is an area characterised by mobility, close nature-culture interactions, and practices such as summer farming and short-distance transhumant practices. The research was carried out by two Norwegian agencies – NIKU and NIBIO – as part of a larger project known as PARKAS designed in the context of green transitions to promote better-integrated and publicly-responsible management and safeguarding of protected areas. We briefly describe the origins and principles of HLC in Britain, and then at greater length assess the suitability of HLC in Hardangervidda and key ways by which the approach would require modification and adaptation. A concrete method for a Hardangervidda HLC – and a suitable high-level classification – is identified and discussed.