Image-based and biochemical multimodal phenotyping for explainable classification of chia (Salvia hispanica L.) genotypes.

Akcura S, Poyraz I, Ciftci B, Kaplan M

DOI: 10.1002/jsfa.71038
Published: 2026 Aug 31
Container: Journal of the science of food and agriculture
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1002/jsfa.71038,
  title = {Image-based and biochemical multimodal phenotyping for explainable classification of chia (Salvia hispanica L.) genotypes.},
  author = {Akcura S and Poyraz I and Ciftci B and Kaplan M},
  year = {2026},
  journal = {Journal of the science of food and agriculture},
  doi = {10.1002/jsfa.71038},
  url = {https://doi.org/10.1002/jsfa.71038}
}

RIS

TY  - JOUR
TI  - Image-based and biochemical multimodal phenotyping for explainable classification of chia (Salvia hispanica L.) genotypes.
AU  - Akcura S
AU  - Poyraz I
AU  - Ciftci B
AU  - Kaplan M
PY  - 2026
JO  - Journal of the science of food and agriculture
DO  - 10.1002/jsfa.71038
UR  - https://doi.org/10.1002/jsfa.71038
ER  -

APA

S, A., I, P., B, C., & M, K. (2026). Image-based and biochemical multimodal phenotyping for explainable classification of chia (Salvia hispanica L.) genotypes.. Journal of the science of food and agriculture. https://doi.org/10.1002/jsfa.71038

Source records

pubmed · retrieved 2026-09-26T06:13:48.917Z
europe-pmc · retrieved 2026-09-26T06:13:48.928Z