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.
2021
Forfattere
Ellen Johanne SvalheimSammendrag
Det er ikke registrert sammendrag
Sammendrag
This study investigated the potential of in-season airborne hyperspectral imaging for the calibration of robust forage yield and quality estimation models. An unmanned aerial vehicle (UAV) and a hyperspectral imager were used to capture canopy reflections of a grass-legume mixture in the range of 450 nm to 800 nm. Measurements were performed over two years at two locations in Southeast and Central Norway. All images were subject to radiometric and geometric corrections before being processed to ortho-images, carrying canopy reflectance information. The data (n = 707) was split in two, using half the data for model calibration and the remaining half for validation. Several powered partial least squares regression (PPLSR) models were fitted to the reflectance data to estimate fresh (FM) and dry matter (DM) yields, as well as crude protein (CP), dry matter digestibility (DMD), neutral detergent fibre (NDF), and indigestible neutral detergent fibre (iNDF) content. Prediction performance of these models was compared with the prediction performance of simple linear regression (SLR) models, which were based on selected vegetation indices and plant height. The highest prediction accuracies for general models, based on the pooled data, were achieved by means of PPLSR, with relative root-mean-square errors of validation of 14.2% (2550 kg FM ha−1), 15.2% (555 kg DM ha−1), 11.7% (1.32 g CP 100 g−1 DM), 2.4% (1.71 g DMD 100 g−1 DM), 4.8% (2.72 g NDF 100 g−1 DM), and 12.8% (1.32 g iNDF 100 g−1 DM) for the prediction of FM, DM, CP, DMD, NDF, and iNDF content, respectively. None of the tested SLR models achieved acceptable prediction accuracies.
Forfattere
Shelemia Nyamuryekung'e Andres F. Cibils Richard Estell Matthew M. McIntosh Dawn VanLeeuwen Caitriana M. Steele Alfredo L. Gonzalez Sheri Spiegal Leonel Avendano Reyes Felipe A. Rodriguez Almeida Martha AndersonSammendrag
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Forfattere
Shelemia Nyamuryekung'e Andres F. Cibils Richard Estell Matthew M. McIntosh Dawn VanLeeuwen Caitriana M. Steele Alfredo L. Gonzalez Sheri Spiegal F. Guadalupe ContinanzaSammendrag
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Forfattere
Anna Birgitte MilfordSammendrag
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Forfattere
Inger HansenSammendrag
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Sammendrag
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Forfattere
Ricardo Alía Filippos Aravanopoulos Kjersti Bakkebø Fjellstad Michele Bozzano Anna-Maria Farsakoglou Santiago C. González-Martínez Bruno Fady Berthold Heinze Gaye Eren Kandemir Czesław Kozioł Hojka Kraigher Francois Lefevre Mari Rusanen Ivan Scotti Marjana Westergren Frank WolterSammendrag
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Sammendrag
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Sammendrag
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