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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
Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: 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: 11 nov. 2024.
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 2024 nov. 11 ] 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 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.compag.2024.109585
Artigo de periodico
Concurrent measurements of bark and xylem water contents in Malus pumila Mill. stems using improved flexible sensors (2024)
Cheng, Xianglin; Yan, Xiaofei; Wang, Zhongyi; Li, Junhui; Oliveira, Ricardo Ferraz de ; Du, Taisheng; Cheng, Qiang
Source: Agricultural and Forest Meteorology. Unidade: ESALQ
Subjects: ÁGUA, CASCAS (PLANTA), DESIDRATAÇÃO DE ALIMENTOS, ELETRODO, MAÇÃ, SENSOR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHENG, Xianglin et al. Concurrent measurements of bark and xylem water contents in Malus pumila Mill. stems using improved flexible sensors. Agricultural and Forest Meteorology, v. 359, p. 1-8, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.agrformet.2024.110290. Acesso em: 11 nov. 2024.
APA
Cheng, X., Yan, X., Wang, Z., Li, J., Oliveira, R. F. de, Du, T., & Cheng, Q. (2024). Concurrent measurements of bark and xylem water contents in Malus pumila Mill. stems using improved flexible sensors. Agricultural and Forest Meteorology, 359, 1-8. doi:10.1016/j.agrformet.2024.110290
NLM
Cheng X, Yan X, Wang Z, Li J, Oliveira RF de, Du T, Cheng Q. Concurrent measurements of bark and xylem water contents in Malus pumila Mill. stems using improved flexible sensors [Internet]. Agricultural and Forest Meteorology. 2024 ;359 1-8.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.agrformet.2024.110290
Vancouver
Cheng X, Yan X, Wang Z, Li J, Oliveira RF de, Du T, Cheng Q. Concurrent measurements of bark and xylem water contents in Malus pumila Mill. stems using improved flexible sensors [Internet]. Agricultural and Forest Meteorology. 2024 ;359 1-8.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.agrformet.2024.110290
Artigo de periodico
In-situ and non-invasive measurement of stem water content of trees using an innovative interdigitated-electrodes dielectric sensor less susceptible to stem diameter variation (2021)
Cheng, Xianglin; Yan, Xiaofei; Grantz, David A; Xiang, Yang; Oliveira, Ricardo Ferraz de; Huang, Lan; Wang, Zhongyi; Du, Taisheng; Cheng, Qiang
Source: Agricultural and Forest Meteorology. Unidade: ESALQ
Subjects: ÁGUA, ÁRVORES FRUTÍFERAS, CAULE, DEFICIT HÍDRICO, ELETRODO, MAÇÃ, SENSOR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHENG, Xianglin et al. In-situ and non-invasive measurement of stem water content of trees using an innovative interdigitated-electrodes dielectric sensor less susceptible to stem diameter variation. Agricultural and Forest Meteorology, v. 307, p. 1-8, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.agrformet.2021.108473. Acesso em: 11 nov. 2024.
APA
Cheng, X., Yan, X., Grantz, D. A., Xiang, Y., Oliveira, R. F. de, Huang, L., et al. (2021). In-situ and non-invasive measurement of stem water content of trees using an innovative interdigitated-electrodes dielectric sensor less susceptible to stem diameter variation. Agricultural and Forest Meteorology, 307, 1-8. doi:10.1016/j.agrformet.2021.108473
NLM
Cheng X, Yan X, Grantz DA, Xiang Y, Oliveira RF de, Huang L, Wang Z, Du T, Cheng Q. In-situ and non-invasive measurement of stem water content of trees using an innovative interdigitated-electrodes dielectric sensor less susceptible to stem diameter variation [Internet]. Agricultural and Forest Meteorology. 2021 ; 307 1-8.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.agrformet.2021.108473
Vancouver
Cheng X, Yan X, Grantz DA, Xiang Y, Oliveira RF de, Huang L, Wang Z, Du T, Cheng Q. In-situ and non-invasive measurement of stem water content of trees using an innovative interdigitated-electrodes dielectric sensor less susceptible to stem diameter variation [Internet]. Agricultural and Forest Meteorology. 2021 ; 307 1-8.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.agrformet.2021.108473
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
Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: 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: 11 nov. 2024.
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 2024 nov. 11 ] 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 2024 nov. 11 ] Available from: https://doi.org/10.1016/j.compag.2021.106435

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