Display options
Cite
Niknejad, N., Bidese-Puhl, R., Bao, Y., Payn, K. G., & Zheng, J. (2023). Phenotyping of architecture traits of loblolly pine trees using stereo machine vision and deep learning: Stem diameter, branch angle, and branch diameter. Computers and Electronics in Agriculture, 211, 107999.
Niknejad, Nariman, et al. "Phenotyping of architecture traits of loblolly pine trees using stereo machine vision and deep learning: Stem diameter, branch angle, and branch diameter." Computers and Electronics in Agriculture 211 (2023): 107999.
Copy Download .nbib Format: MLA
Share it on
Full text links
View full text

N Niknejad, R Bidese-Puhl, Y Bao, KG Payn… - … and Electronics in …, 2023 - Elsevier

Phenotyping of architecture traits of loblolly pine trees using stereo machine vision and deep learning: Stem diameter, branch angle, and branch diameter.

Asset based approaches STEM training

Bao, Niknejad

GSID: Xu5Z41D0_cwJ

Excerpt

… The model training dataset yielded 510 annotated stem and … done for each branch based on its nearby stem diameter. … equal to the stem diameter measured at the base of the branch. …

Similar articles