High-precision estimation of grass quality and quantity using UAS-based VNIR and SWIR hyperspectral cameras and machine learning
| dc.contributor.author | Oliveira, Raquel Alves | |
| dc.contributor.author | Näsi, Roope | |
| dc.contributor.author | Korhonen, Panu | |
| dc.contributor.author | Mustonen, Arja | |
| dc.contributor.author | Niemeläinen, Oiva | |
| dc.contributor.author | Koivumäki, Niko | |
| dc.contributor.author | Hakala, Teemu | |
| dc.contributor.author | Suomalainen, Juha | |
| dc.contributor.author | Kaivosoja, Jere | |
| dc.contributor.author | Honkavaara, Eija | |
| dc.contributor.departmentid | 4100211410 | |
| dc.contributor.departmentid | 4100211410 | |
| dc.contributor.departmentid | 4100110210 | |
| dc.contributor.departmentid | 4100210710 | |
| dc.contributor.orcid | https://orcid.org/0000-0002-0274-6362 | |
| dc.contributor.orcid | https://orcid.org/0000-0003-4581-7770 | |
| dc.contributor.orcid | https://orcid.org/0000-0001-6721-2065 | |
| dc.contributor.organization | Luonnonvarakeskus | |
| dc.date.accessioned | 2023-12-22T08:41:52Z | |
| dc.date.accessioned | 2025-05-28T10:59:37Z | |
| dc.date.available | 2023-12-22T08:41:52Z | |
| dc.date.issued | 2023 | |
| dc.description.vuosik | 2023 | |
| dc.format.bitstream | false | |
| dc.identifier.olddbid | 496902 | |
| dc.identifier.oldhandle | 10024/554336 | |
| dc.identifier.uri | https://jukuri.luke.fi/handle/11111/21448 | |
| dc.language.iso | en | |
| dc.okm.corporatecopublication | ei | |
| dc.okm.discipline | 113 | |
| dc.okm.internationalcopublication | ei | |
| dc.okm.openaccess | 2 = Hybridijulkaisukanavassa ilmestynyt avoin julkaisu | |
| dc.okm.selfarchived | ei | |
| dc.publisher | Springer Science and Business Media LLC | |
| dc.relation.doi | 10.1007/s11119-023-10064-2 | |
| dc.relation.ispartofseries | Precision Agriculture | |
| dc.relation.issn | 1385-2256 | |
| dc.relation.issn | 1573-1618 | |
| dc.source.identifier | https://jukuri.luke.fi/handle/10024/554336 | |
| dc.subject | Remote sensing | |
| dc.subject | UAS | |
| dc.subject | Hyperspectral | |
| dc.subject | SWIR | |
| dc.subject | Grass | |
| dc.subject | Machine learning | |
| dc.teh | 41007-00203101 | |
| dc.teh | 41007-00209501 | |
| dc.teh | 41007-00164201 | |
| dc.title | High-precision estimation of grass quality and quantity using UAS-based VNIR and SWIR hyperspectral cameras and machine learning | |
| 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| |
