Radiomics-driven and explainable machine learning for rapid characterization of Fusarium wilt and Black Sigatoka in banana crops.

Quijije RA, Pelaez E, Tapia-Rosero A, Loayza FR, Valarezo E, Herrera-Perez G, Pisco-Jordán J, Ramos-Pozo L, Leon I, Magdama F, Cevallos-Cevallos JM

Open source

DOI: 10.3389/frai.2026.1861135
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1861135,
  title = {Radiomics-driven and explainable machine learning for rapid characterization of Fusarium wilt and Black Sigatoka in banana crops.},
  author = {Quijije RA and Pelaez E and Tapia-Rosero A and Loayza FR and Valarezo E and Herrera-Perez G and Pisco-Jordán J and Ramos-Pozo L and Leon I and Magdama F and Cevallos-Cevallos JM},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1861135},
  url = {https://doi.org/10.3389/frai.2026.1861135}
}

RIS

TY  - JOUR
TI  - Radiomics-driven and explainable machine learning for rapid characterization of Fusarium wilt and Black Sigatoka in banana crops.
AU  - Quijije RA
AU  - Pelaez E
AU  - Tapia-Rosero A
AU  - Loayza FR
AU  - Valarezo E
AU  - Herrera-Perez G
AU  - Pisco-Jordán J
AU  - Ramos-Pozo L
AU  - Leon I
AU  - Magdama F
AU  - Cevallos-Cevallos JM
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1861135
UR  - https://doi.org/10.3389/frai.2026.1861135
ER  -

APA

RA, Q., E, P., A, T., FR, L., E, V., G, H., J, P., L, R., I, L., F, M., & JM, C. (2026). Radiomics-driven and explainable machine learning for rapid characterization of Fusarium wilt and Black Sigatoka in banana crops.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1861135

Source records

pubmed · retrieved 2026-09-27T11:02:21.016Z
europe-pmc · retrieved 2026-09-27T11:02:21.019Z
doaj · retrieved 2026-09-27T11:02:21.028Z