Publication:
Predicting Operational Events in Mechanized Weed Control Operations by Offline Multi-Modal Data and Machine Learning Provides Highly Accurate Classification in Time Domain

Simple item page
dc.contributor.authorBorz Stelian Alexandru
dc.contributor.authorProto Andrea Rosario
dc.date.accessioned2025-09-06T14:00:23Z
dc.date.issued2024
dc.identifier.citationBorz, S.A.; Proto, A.R. Predicting Operational Events in Mechanized Weed Control Operations by Offline Multi-Modal Data and Machine Learning Provides Highly Accurate Classification in Time Domain. Forests 2024, 15, 2019. https://doi.org/10.3390/f15112019
dc.identifier.urihttps://repository.unitbv.ro/handle/123456789/560
dc.language.isoen_US
dc.titlePredicting Operational Events in Mechanized Weed Control Operations by Offline Multi-Modal Data and Machine Learning Provides Highly Accurate Classification in Time Domain
dc.typeArticle
dspace.entity.typePublication

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Borz&Proto_Predicting operational events in mechanized.pdf
Size:
3.77 MB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.35 KB
Format:
Item-specific license agreed to upon submission
Description:
Download

Collections

Departamentul de Exploatări Forestiere, Amenajarea Pădurilor şi Măsurători Terestre