Enhancing genomic-based forward prediction accuracy in wheat by integrating UAV-derived hyperspectral and environmental data with machine learning under heat-stressed environments.
- DOI
- 10.1002/tpg2.20554
- Published
- 2025-03-01
- Container
- Plant Genome
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1002/tpg2.20554,
title = {Enhancing genomic-based forward prediction accuracy in wheat by integrating UAV-derived hyperspectral and environmental data with machine learning under heat-stressed environments.},
author = {McBreen J and Babar MA and Jarquin D and Ampatzidis Y and Khan N and Kunwar S and Acharya JP and Adewale S and Brown-Guedira G.},
year = {2025},
journal = {Plant Genome},
doi = {10.1002/tpg2.20554},
url = {https://doi.org/10.1002/tpg2.20554}
}RIS
TY - JOUR TI - Enhancing genomic-based forward prediction accuracy in wheat by integrating UAV-derived hyperspectral and environmental data with machine learning under heat-stressed environments. AU - McBreen J AU - Babar MA AU - Jarquin D AU - Ampatzidis Y AU - Khan N AU - Kunwar S AU - Acharya JP AU - Adewale S AU - Brown-Guedira G. PY - 2025 JO - Plant Genome DO - 10.1002/tpg2.20554 UR - https://doi.org/10.1002/tpg2.20554 ER -
APA
J, M., MA, B., D, J., Y, A., N, K., S, K., JP, A., S, A., & G., B. (2025). Enhancing genomic-based forward prediction accuracy in wheat by integrating UAV-derived hyperspectral and environmental data with machine learning under heat-stressed environments.. Plant Genome. https://doi.org/10.1002/tpg2.20554
Source records
- europe-pmc · retrieved 2026-09-27T06:11:10.335Z
- doaj · retrieved 2026-09-27T06:11:10.357Z