Hyperspectral plant sensing for differentiating glyphosate-resistant and glyphosate-susceptible johnsongrass through machine learning algorithms.
- DOI
- 10.1002/ps.6864
- Published
- 2022 Jun
- Container
- Pest management science
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1002/ps.6864,
title = {Hyperspectral plant sensing for differentiating glyphosate-resistant and glyphosate-susceptible johnsongrass through machine learning algorithms.},
author = {Huang Y and Zhao X and Pan Z and Reddy KN and Zhang J},
year = {2022},
journal = {Pest management science},
doi = {10.1002/ps.6864},
url = {https://doi.org/10.1002/ps.6864}
}RIS
TY - JOUR TI - Hyperspectral plant sensing for differentiating glyphosate-resistant and glyphosate-susceptible johnsongrass through machine learning algorithms. AU - Huang Y AU - Zhao X AU - Pan Z AU - Reddy KN AU - Zhang J PY - 2022 JO - Pest management science DO - 10.1002/ps.6864 UR - https://doi.org/10.1002/ps.6864 ER -
APA
Y, H., X, Z., Z, P., KN, R., & J, Z. (2022). Hyperspectral plant sensing for differentiating glyphosate-resistant and glyphosate-susceptible johnsongrass through machine learning algorithms.. Pest management science. https://doi.org/10.1002/ps.6864
Source records
- pubmed · retrieved 2026-09-26T12:49:14.047Z