A Novel Method for Quantifying Plant Morphological Characteristics Using Normal Vectors and Local Curvature Data via 3D Modelling-A Case Study in Leaf Lettuce.

Wada KC, Hayashi A, Lee U, Tanabata T, Isobe S, Itoh H, Maeda H, Fujisako S, Kochi N

Open source

DOI
10.3390/s23156825
Published
2023 Jul 31
Container
Sensors (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/s23156825,
  title = {A Novel Method for Quantifying Plant Morphological Characteristics Using Normal Vectors and Local Curvature Data via 3D Modelling-A Case Study in Leaf Lettuce.},
  author = {Wada KC and Hayashi A and Lee U and Tanabata T and Isobe S and Itoh H and Maeda H and Fujisako S and Kochi N},
  year = {2023},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s23156825},
  url = {https://doi.org/10.3390/s23156825}
}

RIS

TY  - JOUR
TI  - A Novel Method for Quantifying Plant Morphological Characteristics Using Normal Vectors and Local Curvature Data via 3D Modelling-A Case Study in Leaf Lettuce.
AU  - Wada KC
AU  - Hayashi A
AU  - Lee U
AU  - Tanabata T
AU  - Isobe S
AU  - Itoh H
AU  - Maeda H
AU  - Fujisako S
AU  - Kochi N
PY  - 2023
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s23156825
UR  - https://doi.org/10.3390/s23156825
ER  - 

APA

KC, W., A, H., U, L., T, T., S, I., H, I., H, M., S, F., & N, K. (2023). A Novel Method for Quantifying Plant Morphological Characteristics Using Normal Vectors and Local Curvature Data via 3D Modelling-A Case Study in Leaf Lettuce.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s23156825

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