Deep learning algorithms enable accurate identification of cassava varieties (Manihot esculenta Crantz) using image analysis.

Malibiche M, Nickas J, Msofe H, Legg JP

DOI: 10.3389/fpls.2026.1888478
Published: 2026
Container: Frontiers in plant science
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fpls.2026.1888478,
  title = {Deep learning algorithms enable accurate identification of cassava varieties (Manihot esculenta Crantz) using image analysis.},
  author = {Malibiche M and Nickas J and Msofe H and Legg JP},
  year = {2026},
  journal = {Frontiers in plant science},
  doi = {10.3389/fpls.2026.1888478},
  url = {https://doi.org/10.3389/fpls.2026.1888478}
}

RIS

TY  - JOUR
TI  - Deep learning algorithms enable accurate identification of cassava varieties (Manihot esculenta Crantz) using image analysis.
AU  - Malibiche M
AU  - Nickas J
AU  - Msofe H
AU  - Legg JP
PY  - 2026
JO  - Frontiers in plant science
DO  - 10.3389/fpls.2026.1888478
UR  - https://doi.org/10.3389/fpls.2026.1888478
ER  -

APA

M, M., J, N., H, M., & JP, L. (2026). Deep learning algorithms enable accurate identification of cassava varieties (Manihot esculenta Crantz) using image analysis.. Frontiers in plant science. https://doi.org/10.3389/fpls.2026.1888478

Source records

pubmed · retrieved 2026-09-26T23:31:21.413Z