iPheno: A Novel Dual-Aware Vision-Language Model for Multi-Task Fine-Scale Crop Phenotyping.

Fu L, Liu H, Han Y, Ling S, Zhang H, Wang FY, Wu D, Sun H

Open source

DOI
10.1016/j.xplc.2026.102096
Published
2026 Sep 8
Container
Plant communications
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.xplc.2026.102096,
  title = {iPheno: A Novel Dual-Aware Vision-Language Model for Multi-Task Fine-Scale Crop Phenotyping.},
  author = {Fu L and Liu H and Han Y and Ling S and Zhang H and Wang FY and Wu D and Sun H},
  year = {2026},
  journal = {Plant communications},
  doi = {10.1016/j.xplc.2026.102096},
  url = {https://doi.org/10.1016/j.xplc.2026.102096}
}

RIS

TY  - JOUR
TI  - iPheno: A Novel Dual-Aware Vision-Language Model for Multi-Task Fine-Scale Crop Phenotyping.
AU  - Fu L
AU  - Liu H
AU  - Han Y
AU  - Ling S
AU  - Zhang H
AU  - Wang FY
AU  - Wu D
AU  - Sun H
PY  - 2026
JO  - Plant communications
DO  - 10.1016/j.xplc.2026.102096
UR  - https://doi.org/10.1016/j.xplc.2026.102096
ER  - 

APA

L, F., H, L., Y, H., S, L., H, Z., FY, W., D, W., & H, S. (2026). iPheno: A Novel Dual-Aware Vision-Language Model for Multi-Task Fine-Scale Crop Phenotyping.. Plant communications. https://doi.org/10.1016/j.xplc.2026.102096

Source records