A Semi-Automated RGB-Based Method for Wildlife Crop Damage Detection Using QGIS-Integrated UAV Workflow.

Banaszek S, Szota M

Open source

DOI: 10.3390/s25154734
Published: 2025 Jul 31
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s25154734,
  title = {A Semi-Automated RGB-Based Method for Wildlife Crop Damage Detection Using QGIS-Integrated UAV Workflow.},
  author = {Banaszek S and Szota M},
  year = {2025},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s25154734},
  url = {https://doi.org/10.3390/s25154734}
}

RIS

TY  - JOUR
TI  - A Semi-Automated RGB-Based Method for Wildlife Crop Damage Detection Using QGIS-Integrated UAV Workflow.
AU  - Banaszek S
AU  - Szota M
PY  - 2025
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s25154734
UR  - https://doi.org/10.3390/s25154734
ER  -

APA

S, B., & M, S. (2025). A Semi-Automated RGB-Based Method for Wildlife Crop Damage Detection Using QGIS-Integrated UAV Workflow.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25154734

Source records

pubmed · retrieved 2026-09-25T18:50:48.034Z
europe-pmc · retrieved 2026-09-25T18:50:48.017Z
doaj · retrieved 2026-09-25T18:50:48.032Z