Crossmark

Artificial intelligence plant classification complements dichotomous key to enhance student understanding and engagement in plant identification in Rwanda

Crossref DOI link: https://doi.org/10.1007/s44217-026-01237-y

Published Online: 2026-03-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Gatarira, Cobes

Nsengimana, Venuste

Muterampundu, Jeannette

Mukandera, Assumpta

Habimana, Olivier
License Information

Text and Data Mining valid from 2026-03-02

Version of Record valid from 2026-04-07
More Information

Article History

Received: 10 June 2025

Accepted: 9 February 2026

First Online: 2 March 2026

Declarations

:

: Ethical approval was obtained from the University of Rwanda ethics committee (Reference No: DRI-CE/051(a)/EN/gi/2025). All procedures involving human participants and data were conducted in accordance with relevant guidelines and regulations. The study complied with the principles of the declaration of Helsinki and applicable national ethical standards. The authors confirm that informed consent was obtained from all participants prior to their particiupation in the study. Participants were fully aware of the study’s purpose, risks, and benefits. For the participants under the age of 16, informed consent was obtained from their parents/ legally authorized representatives.

: Not applicable.

: The authors declare no competing interests.

Document is current

Any future updates will be listed below