Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/30102| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Cabaravdic, Azra | en_US |
| dc.contributor.author | Trajkov, Pande | en_US |
| dc.contributor.author | Tanovski, Vladimir | en_US |
| dc.contributor.author | Magmutovic, Galib | en_US |
| dc.contributor.author | Osmanovic, Mirza | en_US |
| dc.date.accessioned | 2024-04-26T11:11:59Z | - |
| dc.date.available | 2024-04-26T11:11:59Z | - |
| dc.date.issued | 2018-10-10 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/30102 | - |
| dc.title | Machine-learning algorithms evaluation of growing stock prediction, based on inventory and sentinel spectral data on two beech forest sites in Bosnia and Macedonia | en_US |
| dc.type | Proceeding article | en_US |
| dc.relation.conference | People-Forest-Science | en_US |
| item.grantfulltext | none | - |
| item.fulltext | No Fulltext | - |
| crisitem.author.dept | Faculty of Forestry | - |
| Appears in Collections: | Hans Em Faculty of Forest Sciences, Landscape Architecture and Environmental Engineering: Conference papers | |
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