Assessing the Potential of Multispectral UAV-Derived Vegetation Indices for Estimating Water Use of Taro (Colocasia esculenta) Under Different Weed Management Practices.
- DOI
- 10.3390/plants15182857
- Published
- 2026 Sep 18
- Container
- Plants (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/plants15182857,
title = {Assessing the Potential of Multispectral UAV-Derived Vegetation Indices for Estimating Water Use of Taro (Colocasia esculenta) Under Different Weed Management Practices.},
author = {Muchaonyerwa K and Mahomed M and Gokool S and Clulow A and Denton G and Reddy K and Kunz R},
year = {2026},
journal = {Plants (Basel, Switzerland)},
doi = {10.3390/plants15182857},
url = {https://doi.org/10.3390/plants15182857}
}RIS
TY - JOUR TI - Assessing the Potential of Multispectral UAV-Derived Vegetation Indices for Estimating Water Use of Taro (Colocasia esculenta) Under Different Weed Management Practices. AU - Muchaonyerwa K AU - Mahomed M AU - Gokool S AU - Clulow A AU - Denton G AU - Reddy K AU - Kunz R PY - 2026 JO - Plants (Basel, Switzerland) DO - 10.3390/plants15182857 UR - https://doi.org/10.3390/plants15182857 ER -
APA
K, M., M, M., S, G., A, C., G, D., K, R., & R, K. (2026). Assessing the Potential of Multispectral UAV-Derived Vegetation Indices for Estimating Water Use of Taro (Colocasia esculenta) Under Different Weed Management Practices.. Plants (Basel, Switzerland). https://doi.org/10.3390/plants15182857
Source records
- pubmed · retrieved 2026-09-26T14:07:41.260Z