A Data Integration Framework for Annotated Forestry Datasets: Combining RGB Imagery and Harvester Data

Christian Höök; Omar Mendoza Trejo; Carola Häggström; Ola Lindroos

A Data Integration Framework for Annotated Forestry Datasets: Combining RGB Imagery and Harvester Data

Publication: Contribution to conference › Conference abstract (not in scientific journal)

Original language	English
Publication status	Published - 2025
Event	Precision Forestry: At the Dawn of Artificial Intelligence (AI), February 3-7, 2025, Stellenbosch, South Africa - Duration: 1 Jan 2025 → …

Conference

Conference	Precision Forestry: At the Dawn of Artificial Intelligence (AI), February 3-7, 2025, Stellenbosch, South Africa
Period	2025-01-01 → …

Cite this

@conference{46adeb1ae9d74b0c835694c5727d20d2,

title = "A Data Integration Framework for Annotated Forestry Datasets: Combining RGB Imagery and Harvester Data",

author = "Christian H{\"o}{\"o}k and \{Mendoza Trejo\}, Omar and Carola H{\"a}ggstr{\"o}m and Ola Lindroos",

year = "2025",

language = "English",

note = "Precision Forestry: At the Dawn of Artificial Intelligence (AI), February 3-7, 2025, Stellenbosch, South Africa ; Conference date: 01-01-2025",

}

A Data Integration Framework for Annotated Forestry Datasets: Combining RGB Imagery and Harvester Data. / Höök, Christian ; Mendoza Trejo, Omar ; Häggström, Carola et al.
2025. Abstract from Precision Forestry: At the Dawn of Artificial Intelligence (AI), February 3-7, 2025, Stellenbosch, South Africa.

Publication: Contribution to conference › Conference abstract (not in scientific journal)

TY - CONF

T1 - A Data Integration Framework for Annotated Forestry Datasets: Combining RGB Imagery and Harvester Data

AU - Höök, Christian

AU - Mendoza Trejo, Omar

AU - Häggström, Carola

AU - Lindroos, Ola

PY - 2025

Y1 - 2025

UR - https://res.slu.se/id/publ/140900

M3 - Conference abstract (not in scientific journal)

T2 - Precision Forestry: At the Dawn of Artificial Intelligence (AI), February 3-7, 2025, Stellenbosch, South Africa

Y2 - 1 January 2025

ER -

A Data Integration Framework for Annotated Forestry Datasets: Combining RGB Imagery and Harvester Data

Conference

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