Improving Winter Wheat Yield Forecasting Based on Multi-Source Data and Machine Learning
| dc.contributor.author | Sun, Yuexia | |
| dc.contributor.author | Zhang, Shuai | |
| dc.contributor.author | Tao, Fulu | |
| dc.contributor.author | Aboelenein, Rashad | |
| dc.contributor.author | Amer, Alia | |
| dc.contributor.departmentid | 4100311110 | |
| dc.contributor.organization | Luonnonvarakeskus | |
| dc.date.accessioned | 2023-01-17T06:58:33Z | |
| dc.date.accessioned | 2025-05-27T20:14:17Z | |
| dc.date.available | 2023-01-17T06:58:33Z | |
| dc.date.issued | 2022 | |
| dc.description.vuosik | 2022 | |
| dc.format.bitstream | false | |
| dc.format.pagerange | 16 p. | |
| dc.identifier.olddbid | 495596 | |
| dc.identifier.oldhandle | 10024/553037 | |
| dc.identifier.uri | https://jukuri.luke.fi/handle/11111/9685 | |
| dc.language.iso | en | |
| dc.okm.corporatecopublication | ei | |
| dc.okm.discipline | 4111 | |
| dc.okm.discipline | 218 | |
| dc.okm.internationalcopublication | on | |
| dc.okm.openaccess | 1 = Open access -julkaisukanavassa ilmestynyt julkaisu | |
| dc.okm.selfarchived | ei | |
| dc.publisher | MDPI AG | |
| dc.relation.articlenumber | 571 | |
| dc.relation.doi | 10.3390/agriculture12050571 | |
| dc.relation.ispartofseries | Agriculture | |
| dc.relation.issn | 2077-0472 | |
| dc.relation.numberinseries | 5 | |
| dc.relation.volume | 12 | |
| dc.source.identifier | https://jukuri.luke.fi/handle/10024/553037 | |
| dc.subject | solar induced chlorophyll fluorescence (SIF) | |
| dc.subject | winter wheat | |
| dc.subject | yield forecast | |
| dc.subject | random forest | |
| dc.subject | enhanced vegetation index (EVI) | |
| dc.teh | OHFO-EI-OHFO | |
| dc.title | Improving Winter Wheat Yield Forecasting Based on Multi-Source Data 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| |
