Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field.

Smith LN, Zhang W, Hansen MF, Hales IJ, Smith ML

DOI: 10.1016/j.compind.2018.02.002
Published: 2018 May
Container: Computers in industry
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.compind.2018.02.002,
  title = {Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field.},
  author = {Smith LN and Zhang W and Hansen MF and Hales IJ and Smith ML},
  year = {2018},
  journal = {Computers in industry},
  doi = {10.1016/j.compind.2018.02.002},
  url = {https://doi.org/10.1016/j.compind.2018.02.002}
}

RIS

TY  - JOUR
TI  - Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field.
AU  - Smith LN
AU  - Zhang W
AU  - Hansen MF
AU  - Hales IJ
AU  - Smith ML
PY  - 2018
JO  - Computers in industry
DO  - 10.1016/j.compind.2018.02.002
UR  - https://doi.org/10.1016/j.compind.2018.02.002
ER  -

APA

LN, S., W, Z., MF, H., IJ, H., & ML, S. (2018). Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field.. Computers in industry. https://doi.org/10.1016/j.compind.2018.02.002

Source records

pubmed · retrieved 2026-09-25T11:01:16.178Z