Implementing Digital Multispectral 3D Scanning Technology for Rapid Assessment of Hemp (<i>Cannabis sativa</i> L.) Weed Competitive Traits
- DOI
- 10.3390/rs16132375
- Published
- 06
- Container
- Remote Sensing
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/rs16132375,
title = {Implementing Digital Multispectral 3D Scanning Technology for Rapid Assessment of Hemp (<i>Cannabis sativa</i> L.) Weed Competitive Traits},
author = {Gursewak Singh and Tyler Slonecki and Philip Wadl and Michael Flessner and Lynn Sosnoskie and Harlene Hatterman-Valenti and Karla Gage and Matthew Cutulle},
year = {2024},
journal = {Remote Sensing},
doi = {10.3390/rs16132375},
url = {https://doi.org/10.3390/rs16132375}
}RIS
TY - JOUR TI - Implementing Digital Multispectral 3D Scanning Technology for Rapid Assessment of Hemp (<i>Cannabis sativa</i> L.) Weed Competitive Traits AU - Gursewak Singh AU - Tyler Slonecki AU - Philip Wadl AU - Michael Flessner AU - Lynn Sosnoskie AU - Harlene Hatterman-Valenti AU - Karla Gage AU - Matthew Cutulle PY - 2024 JO - Remote Sensing DO - 10.3390/rs16132375 UR - https://doi.org/10.3390/rs16132375 ER -
APA
Singh, G., Slonecki, T., Wadl, P., Flessner, M., Sosnoskie, L., Hatterman-Valenti, H., Gage, K., & Cutulle, M. (2024). Implementing Digital Multispectral 3D Scanning Technology for Rapid Assessment of Hemp (<i>Cannabis sativa</i> L.) Weed Competitive Traits. Remote Sensing. https://doi.org/10.3390/rs16132375
Source records
- doaj · retrieved 2026-09-27T10:42:53.364Z