Editorial: Big data and artificial intelligence technologies for smart forestry.

Jing W, Kuang Z, Scherer R, Woźniak M

Open source

DOI: 10.3389/fpls.2023.1149740
Published: 2023
Container: Frontiers in plant science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fpls.2023.1149740,
  title = {Editorial: Big data and artificial intelligence technologies for smart forestry.},
  author = {Jing W and Kuang Z and Scherer R and Woźniak M},
  year = {2023},
  journal = {Frontiers in plant science},
  doi = {10.3389/fpls.2023.1149740},
  url = {https://doi.org/10.3389/fpls.2023.1149740}
}

RIS

TY  - JOUR
TI  - Editorial: Big data and artificial intelligence technologies for smart forestry.
AU  - Jing W
AU  - Kuang Z
AU  - Scherer R
AU  - Woźniak M
PY  - 2023
JO  - Frontiers in plant science
DO  - 10.3389/fpls.2023.1149740
UR  - https://doi.org/10.3389/fpls.2023.1149740
ER  -

APA

W, J., Z, K., R, S., & M, W. (2023). Editorial: Big data and artificial intelligence technologies for smart forestry.. Frontiers in plant science. https://doi.org/10.3389/fpls.2023.1149740

Source records

pubmed · retrieved 2026-09-26T01:19:02.105Z
europe-pmc · retrieved 2026-09-26T01:19:02.115Z
doaj · retrieved 2026-09-26T01:19:02.137Z