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Artigo de periodico
Development of an interdigitated electrode sensor for monitoring tobacco leaf relative water content in bulk curing barn (2025)
Cheng, Xianglin; Guo, Weimin; Zhang, Yanling; Yan, Xiaofei; Li, Junhui; Oliveira, Ricardo F. de ; Cheng, Qiang; Xu, Qiang
Fonte: Computers and Electronics in Agriculture. Unidade: ESALQ
Assuntos: ÁGUA, ELETRODO, FOLHAS (PLANTAS), FUMO, SENSOR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHENG, Xianglin et al. Development of an interdigitated electrode sensor for monitoring tobacco leaf relative water content in bulk curing barn. Computers and Electronics in Agriculture, v. 230, p. 1-8, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2025.109942. Acesso em: 16 nov. 2025.
APA
Cheng, X., Guo, W., Zhang, Y., Yan, X., Li, J., Oliveira, R. F. de, et al. (2025). Development of an interdigitated electrode sensor for monitoring tobacco leaf relative water content in bulk curing barn. Computers and Electronics in Agriculture, 230, 1-8. doi:10.1016/j.compag.2025.109942
NLM
Cheng X, Guo W, Zhang Y, Yan X, Li J, Oliveira RF de, Cheng Q, Xu Q. Development of an interdigitated electrode sensor for monitoring tobacco leaf relative water content in bulk curing barn [Internet]. Computers and Electronics in Agriculture. 2025 ; 230 1-8.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.compag.2025.109942
Vancouver
Cheng X, Guo W, Zhang Y, Yan X, Li J, Oliveira RF de, Cheng Q, Xu Q. Development of an interdigitated electrode sensor for monitoring tobacco leaf relative water content in bulk curing barn [Internet]. Computers and Electronics in Agriculture. 2025 ; 230 1-8.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.compag.2025.109942
Artigo de periodico
New dielectric-based smart sensor with multi-probe arrays for in-vivo monitoring of trunk water content distribution of a tree in a poplar stand (2024)
Cheng, Xianglin; Wu, Xiaotong; Zhu, Yufan; Zhao, Yang; Xi, Benye; Yan, Xiaofei; Oliveira, Ricardo Ferraz de ; Cheng, Qiang
Fonte: Computers and Electronics in Agriculture. Unidade: ESALQ
Assuntos: ÁLAMO, DIELÉTRICOS, DISTRIBUIÇÃO DE ÁGUA, MONITORAMENTO, SENSOR, XILEMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHENG, Xianglin et al. New dielectric-based smart sensor with multi-probe arrays for in-vivo monitoring of trunk water content distribution of a tree in a poplar stand. Computers and Electronics in Agriculture, v. 227, p. 1-11, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2024.109585. Acesso em: 16 nov. 2025.
APA
Cheng, X., Wu, X., Zhu, Y., Zhao, Y., Xi, B., Yan, X., et al. (2024). New dielectric-based smart sensor with multi-probe arrays for in-vivo monitoring of trunk water content distribution of a tree in a poplar stand. Computers and Electronics in Agriculture, 227, 1-11. doi:10.1016/j.compag.2024.109585
NLM
Cheng X, Wu X, Zhu Y, Zhao Y, Xi B, Yan X, Oliveira RF de, Cheng Q. New dielectric-based smart sensor with multi-probe arrays for in-vivo monitoring of trunk water content distribution of a tree in a poplar stand [Internet]. Computers and Electronics in Agriculture. 2024 ; 227 1-11.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.compag.2024.109585
Vancouver
Cheng X, Wu X, Zhu Y, Zhao Y, Xi B, Yan X, Oliveira RF de, Cheng Q. New dielectric-based smart sensor with multi-probe arrays for in-vivo monitoring of trunk water content distribution of a tree in a poplar stand [Internet]. Computers and Electronics in Agriculture. 2024 ; 227 1-11.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.compag.2024.109585
Artigo de periodico
A deep learning method for the long-term prediction of plant electrical signals under salt stress to identify salt tolerance (2021)
Yao, Jie-Peng; Wang, Zi-Yang; Oliveira, Ricardo Ferraz de; Wang, Zhong-Yi; Huang, Lan
Fonte: Computers and Electronics in Agriculture. Unidade: ESALQ
Assuntos: TRIGO, SALINIDADE DO SOLO, REDES NEURAIS, ANÁLISE DE SÉRIES TEMPORAIS, SOLO SALINO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YAO, Jie-Peng et al. A deep learning method for the long-term prediction of plant electrical signals under salt stress to identify salt tolerance. Computers and Electronics in Agriculture, v. 190, p. 1-14, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2021.106435. Acesso em: 16 nov. 2025.
APA
Yao, J. -P., Wang, Z. -Y., Oliveira, R. F. de, Wang, Z. -Y., & Huang, L. (2021). A deep learning method for the long-term prediction of plant electrical signals under salt stress to identify salt tolerance. Computers and Electronics in Agriculture, 190, 1-14. doi:10.1016/j.compag.2021.106435
NLM
Yao J-P, Wang Z-Y, Oliveira RF de, Wang Z-Y, Huang L. A deep learning method for the long-term prediction of plant electrical signals under salt stress to identify salt tolerance [Internet]. Computers and Electronics in Agriculture. 2021 ; 190 1-14.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.compag.2021.106435
Vancouver
Yao J-P, Wang Z-Y, Oliveira RF de, Wang Z-Y, Huang L. A deep learning method for the long-term prediction of plant electrical signals under salt stress to identify salt tolerance [Internet]. Computers and Electronics in Agriculture. 2021 ; 190 1-14.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1016/j.compag.2021.106435

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