A rapidly deployable classification system using visual data for the application of precision weed management
- DOI
- 10.1016/j.compag.2018.02.023
- Published
- 2018-05
- Container
- Computers and Electronics in Agriculture
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compag.2018.02.023,
title = {A rapidly deployable classification system using visual data for the application of precision weed management},
author = {David Hall and Feras Dayoub and Tristan Perez and Chris McCool},
year = {2018},
journal = {Computers and Electronics in Agriculture},
doi = {10.1016/j.compag.2018.02.023},
url = {https://doi.org/10.1016/j.compag.2018.02.023}
}RIS
TY - JOUR TI - A rapidly deployable classification system using visual data for the application of precision weed management AU - David Hall AU - Feras Dayoub AU - Tristan Perez AU - Chris McCool PY - 2018 JO - Computers and Electronics in Agriculture DO - 10.1016/j.compag.2018.02.023 UR - https://doi.org/10.1016/j.compag.2018.02.023 ER -
APA
Hall, D., Dayoub, F., Perez, T., & McCool, C. (2018). A rapidly deployable classification system using visual data for the application of precision weed management. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2018.02.023
Source records
- crossref · retrieved 2026-11-10T07:20:12.159Z