Multi-modal deep learning for paddy health assessment: fusing leaf imagery with tabular metadata using a factorized bilinear pooling approach.
- DOI
- 10.1038/s41598-026-52281-5
- Published
- 2026 Jun 26
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-52281-5,
title = {Multi-modal deep learning for paddy health assessment: fusing leaf imagery with tabular metadata using a factorized bilinear pooling approach.},
author = {V VG and Deepa J},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-52281-5},
url = {https://doi.org/10.1038/s41598-026-52281-5}
}RIS
TY - JOUR TI - Multi-modal deep learning for paddy health assessment: fusing leaf imagery with tabular metadata using a factorized bilinear pooling approach. AU - V VG AU - Deepa J PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-52281-5 UR - https://doi.org/10.1038/s41598-026-52281-5 ER -
APA
VG, V., & J, D. (2026). Multi-modal deep learning for paddy health assessment: fusing leaf imagery with tabular metadata using a factorized bilinear pooling approach.. Scientific reports. https://doi.org/10.1038/s41598-026-52281-5
Source records
- pubmed · retrieved 2026-09-26T14:56:51.710Z
- europe-pmc · retrieved 2026-09-26T14:56:51.709Z