Enhancing plant pathology discovery and application development through automated, high-throughput hyperspectral imaging.
- DOI
- 10.1094/pdis-08-25-1729-sr
- Published
- 2026 May 20
- Container
- Plant disease
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1094/pdis-08-25-1729-sr,
title = {Enhancing plant pathology discovery and application development through automated, high-throughput hyperspectral imaging.},
author = {Hosseinzadeh S and Martinez D and Weber RH and Underhill A and Bitsadze N and Moreno J and Cadle-Davidson L and Jiang Y and Gold K},
year = {2026},
journal = {Plant disease},
doi = {10.1094/pdis-08-25-1729-sr},
url = {https://doi.org/10.1094/pdis-08-25-1729-sr}
}RIS
TY - JOUR TI - Enhancing plant pathology discovery and application development through automated, high-throughput hyperspectral imaging. AU - Hosseinzadeh S AU - Martinez D AU - Weber RH AU - Underhill A AU - Bitsadze N AU - Moreno J AU - Cadle-Davidson L AU - Jiang Y AU - Gold K PY - 2026 JO - Plant disease DO - 10.1094/pdis-08-25-1729-sr UR - https://doi.org/10.1094/pdis-08-25-1729-sr ER -
APA
S, H., D, M., RH, W., A, U., N, B., J, M., L, C., Y, J., & K, G. (2026). Enhancing plant pathology discovery and application development through automated, high-throughput hyperspectral imaging.. Plant disease. https://doi.org/10.1094/pdis-08-25-1729-sr
Source records
- pubmed · retrieved 2026-09-26T14:31:31.692Z