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A Novel Machine Learning Method for Estimating Biomass of Grass Swards Using a Photogrammetric Canopy Height Model, Images and Vegetation Indices Captured by a Drone

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dc.contributor.authorViljanen, Niko
dc.contributor.authorHonkavaara, Eija
dc.contributor.authorNäsi, Roope
dc.contributor.authorHakala, Teemu
dc.contributor.authorNiemeläinen, Oiva
dc.contributor.authorKaivosoja, Jere
dc.contributor.departmentLuke / Luonnonvarat / Peltokasvien tuotanto (4100110210)-
dc.contributor.departmentLuke / Tuotantojärjestelmät / Maatalouden teknologiat (4100210710)-
dc.contributor.departmentid4100110210-
dc.contributor.departmentid4100210710-
dc.contributor.otherFinnish Geospatial Research Institute-
dc.date.accessioned2018-07-18T13:30:42Z
dc.date.accessioned2025-05-30T12:18:32Z
dc.date.available2018-07-18T13:30:42Z
dc.date.issued2018
dc.description.vuosik2018
dc.format.bitstreamtrue
dc.identifier.olddbid484605
dc.identifier.oldhandle10024/542248
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/85407
dc.identifier.urnURN:NBN:fi-fe2018071831604-
dc.language.isoeng-
dc.okm.corporatecopublicationei-
dc.okm.discipline112 Tilastotiede-
dc.okm.discipline213 Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikka-
dc.okm.discipline4111 Maataloustiede-
dc.okm.discipline412 Kotieläintiede, maitotaloustiede-
dc.okm.internationalcopublicationei-
dc.okm.openaccess1 = Open access -julkaisukanavassa ilmestynyt julkaisu-
dc.okm.selfarchivedon-
dc.publisherMDPI-
dc.relation.doidoi:10.3390/agriculture8050070-
dc.relation.ispartofseriesAgriculture-
dc.relation.issn2077-0472-
dc.relation.numberinseries5-
dc.relation.volume8-
dc.rightsby-
dc.rights.copyright© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).-
dc.rights.urihttp://www.mdpi.com/journal/agriculture/about-
dc.source.identifierhttps://jukuri.luke.fi/handle/10024/542248
dc.subject.agriforsheinänurmet-
dc.subject.agrovocphotogrammetry-
dc.subject.agrovocunmanned aerial vehicles-
dc.subject.agrovocbiomass-
dc.subject.agrovocmachine learning-
dc.subject.keyworddrone-
dc.subject.keyworddigital surface model-
dc.subject.keywordcanopy height model-
dc.subject.keywordgrass sward-
dc.subject.keywordRandom Forest-
dc.subject.keywordmultiple linear regression-
dc.subject.ysafotogrammetria-
dc.teh41007-00103100-
dc.teh41007-00061700-
dc.titleA Novel Machine Learning Method for Estimating Biomass of Grass Swards Using a Photogrammetric Canopy Height Model, Images and Vegetation Indices Captured by a Drone-
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research|-
dc.type.versionPublisher's version-
dc.virta2019

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