Evaluation of different sensing approaches concerning to nondestructive estimation of leaf area index (LAI) for winter wheat
| dc.bibliographicCitation.firstPage | 337 | eng |
| dc.bibliographicCitation.issue | 1 | eng |
| dc.bibliographicCitation.journalTitle | International Journal on Smart Sensing and Intelligent Systems | eng |
| dc.bibliographicCitation.volume | 7 | eng |
| dc.contributor.author | Tavakoli, H. | |
| dc.contributor.author | Mohtasebi, S.S. | |
| dc.contributor.author | Alimardani, R. | |
| dc.contributor.author | Gebbers, R. | |
| dc.date.accessioned | 2020-10-28T14:52:56Z | |
| dc.date.available | 2020-10-28T14:52:56Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Different approaches of non-destructive estimation of the LAI in winter wheat were compared. Plant height had weak relation with the LAI, while estimated biomass showed high logarithmic relationship (R2=0.839). NDRE and REIP were logarithmically well related to the LAI (R2=0.726 and 0.779 respectively). Saturation effect of NDRE and REIP was less than NDVI. Some RGB-based indices also showed good potential to estimate the LAI. Among the indices, Gm, GMB, RMB, and NRMB were better related to the LAI. The results indicated that digital cameras can be used as an affordable and simple approach for assessment of the LAI of crops. | eng |
| dc.description.version | publishedVersion | eng |
| dc.identifier.uri | https://oa.tib.eu/renate/handle/123456789/5868 | |
| dc.identifier.uri | https://doi.org/10.34657/4497 | |
| dc.language.iso | eng | eng |
| dc.publisher | Auckland : Massey University | eng |
| dc.relation.doi | https://doi.org/10.21307/ijssis-2017-659 | |
| dc.relation.issn | 1178-5608 | |
| dc.rights.license | CC BY-NC-ND 4.0 Unported | eng |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | eng |
| dc.subject.ddc | 620 | eng |
| dc.subject.other | Digital camera | eng |
| dc.subject.other | Leaf area index (LAI) | eng |
| dc.subject.other | Plant height | eng |
| dc.subject.other | Precision agriculture | eng |
| dc.subject.other | Vegetation indices | eng |
| dc.subject.other | Digital cameras | eng |
| dc.subject.other | Precision agriculture | eng |
| dc.subject.other | Video cameras | eng |
| dc.subject.other | Leaf Area Index | eng |
| dc.subject.other | Logarithmic relationship | eng |
| dc.subject.other | Non destructive | eng |
| dc.subject.other | Plant height | eng |
| dc.subject.other | Saturation effects | eng |
| dc.subject.other | Simple approach | eng |
| dc.subject.other | Vegetation index | eng |
| dc.subject.other | Winter wheat | eng |
| dc.subject.other | Crops | eng |
| dc.title | Evaluation of different sensing approaches concerning to nondestructive estimation of leaf area index (LAI) for winter wheat | eng |
| dc.type | Article | eng |
| dc.type | Text | eng |
| tib.accessRights | openAccess | eng |
| wgl.contributor | ATB | eng |
| wgl.subject | Umweltwissenschaften | eng |
| wgl.type | Zeitschriftenartikel | eng |