Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry
dc.contributor.author | Oliveira, Raquel Alves | |
dc.contributor.author | Näsi, Roope | |
dc.contributor.author | Niemeläinen, Oiva | |
dc.contributor.author | Nyholm, Laura | |
dc.contributor.author | Alhonoja, Katja | |
dc.contributor.author | Kaivosoja, Jere | |
dc.contributor.author | Jauhiainen, Lauri | |
dc.contributor.author | Viljanen, Niko | |
dc.contributor.author | Nezami, Somayeh | |
dc.contributor.author | Markelin, Lauri | |
dc.contributor.author | Hakala, Teemu | |
dc.contributor.author | Honkavaara, Eija | |
dc.contributor.departmentid | 4100110210 | |
dc.contributor.departmentid | 4100210710 | |
dc.contributor.departmentid | 4100110210 | |
dc.contributor.orcid | https://orcid.org/0000-0001-6721-2065 | |
dc.contributor.organization | Luonnonvarakeskus | |
dc.date.accessioned | 2020-12-15T05:49:24Z | |
dc.date.accessioned | 2025-05-28T13:55:08Z | |
dc.date.available | 2020-12-15T05:49:24Z | |
dc.date.issued | 2020 | |
dc.description.vuosik | 2020 | |
dc.format.bitstream | false | |
dc.identifier.olddbid | 489221 | |
dc.identifier.oldhandle | 10024/546681 | |
dc.identifier.uri | https://jukuri.luke.fi/handle/11111/24429 | |
dc.language.iso | en | |
dc.okm.corporatecopublication | on | |
dc.okm.discipline | 222 | |
dc.okm.internationalcopublication | ei | |
dc.okm.openaccess | 2 = Hybridijulkaisukanavassa ilmestynyt avoin julkaisu | |
dc.okm.selfarchived | ei | |
dc.publisher | American Elsevier Pub. Co. | |
dc.relation.articlenumber | 111830 | |
dc.relation.doi | 10.1016/j.rse.2020.111830 | |
dc.relation.ispartofseries | Remote sensing of environment | |
dc.relation.issn | 0034-4257 | |
dc.relation.issn | 1879-0704 | |
dc.relation.volume | 246 | |
dc.source.identifier | https://jukuri.luke.fi/handle/10024/546681 | |
dc.subject.yso | Hyperspectral | |
dc.subject.yso | Drone | |
dc.subject.yso | photogrammetry | |
dc.subject.yso | Precise agriculture | |
dc.subject.yso | Grass sward | |
dc.subject.yso | biomass | |
dc.subject.yso | Digestibility | |
dc.subject.yso | nitrogen | |
dc.subject.yso | Neutral detergent fibre | |
dc.subject.yso | machine learning | |
dc.subject.yso | Random forest | |
dc.subject.yso | Multiple linear regression | |
dc.teh | 41007-00180500 | |
dc.teh | 41007-00103100 | |
dc.title | Machine learning estimators for the quantity and quality of grass swards used for silage production using drone-based imaging spectrometry and photogrammetry | |
dc.type | publication | |
dc.type.okm | fi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research| |