A CNN-LSTM-att hybrid model for classification and evaluation of growth status under drought and heat stress in chinese fir (Cunninghamia lanceolata).

Xing D, Wang Y, Sun P, Huang H, Lin E

Open source

DOI
10.1186/s13007-023-01044-8
Published
2023 Jul 3
Container
Plant methods
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1186/s13007-023-01044-8,
  title = {A CNN-LSTM-att hybrid model for classification and evaluation of growth status under drought and heat stress in chinese fir (Cunninghamia lanceolata).},
  author = {Xing D and Wang Y and Sun P and Huang H and Lin E},
  year = {2023},
  journal = {Plant methods},
  doi = {10.1186/s13007-023-01044-8},
  url = {https://doi.org/10.1186/s13007-023-01044-8}
}

RIS

TY  - JOUR
TI  - A CNN-LSTM-att hybrid model for classification and evaluation of growth status under drought and heat stress in chinese fir (Cunninghamia lanceolata).
AU  - Xing D
AU  - Wang Y
AU  - Sun P
AU  - Huang H
AU  - Lin E
PY  - 2023
JO  - Plant methods
DO  - 10.1186/s13007-023-01044-8
UR  - https://doi.org/10.1186/s13007-023-01044-8
ER  - 

APA

D, X., Y, W., P, S., H, H., & E, L. (2023). A CNN-LSTM-att hybrid model for classification and evaluation of growth status under drought and heat stress in chinese fir (Cunninghamia lanceolata).. Plant methods. https://doi.org/10.1186/s13007-023-01044-8

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