Artificial intelligence-driven solutions for mitigating human–wildlife conflict in biodiversity hotspots

Fredrick Ojija, Matthew C Ogwu, Juma Ally, John P John, Azaria Stephano, Nancy Felix, Ramadhani Tekka

Open source

DOI: 10.1177/00368504251394584
Published: 2025-10
Container: Science Progress
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/00368504251394584,
  title = {Artificial intelligence-driven solutions for mitigating human–wildlife conflict in biodiversity hotspots},
  author = {Fredrick Ojija and Matthew C Ogwu and Juma Ally and John P John and Azaria Stephano and Nancy Felix and Ramadhani Tekka},
  year = {2025},
  journal = {Science Progress},
  doi = {10.1177/00368504251394584},
  url = {https://doi.org/10.1177/00368504251394584}
}

RIS

TY  - JOUR
TI  - Artificial intelligence-driven solutions for mitigating human–wildlife conflict in biodiversity hotspots
AU  - Fredrick Ojija
AU  - Matthew C Ogwu
AU  - Juma Ally
AU  - John P John
AU  - Azaria Stephano
AU  - Nancy Felix
AU  - Ramadhani Tekka
PY  - 2025
JO  - Science Progress
DO  - 10.1177/00368504251394584
UR  - https://doi.org/10.1177/00368504251394584
ER  -

APA

Ojija, F., Ogwu, M. C., Ally, J., John, J. P., Stephano, A., Felix, N., & Tekka, R. (2025). Artificial intelligence-driven solutions for mitigating human–wildlife conflict in biodiversity hotspots. Science Progress. https://doi.org/10.1177/00368504251394584

Source records

crossref · retrieved 2026-09-25T11:32:02.806Z