ReP USP - Resultado da busca

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: 04 jul. 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 jul. 04 ] 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 jul. 04 ] 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: 04 jul. 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 jul. 04 ] 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 jul. 04 ] Available from: https://doi.org/10.1016/j.compag.2021.106435
Artigo de periodico
Identification of Isotonic Drought Stress and Salt Stress in Wheat Seedling Based on Plant Electric Signal (2021)
Li, J; Li, Y; Oliveira, Ricardo Ferraz de ; Yao, J; Huang, L; Wang, Z
Source: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, DEFICIT HÍDRICO, ELETROFISIOLOGIA EM PLANTAS, ESTRESSE, SALINIDADE DO SOLO, TRIGO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LI, J et al. Identification of Isotonic Drought Stress and Salt Stress in Wheat Seedling Based on Plant Electric Signal. Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, v. 52, n. 7, p. 231-236, 2021Tradução . . Disponível em: https://doi.org/10.6041/j.issn.1000-1298.2021.07.024. Acesso em: 04 jul. 2024.
APA
Li, J., Li, Y., Oliveira, R. F. de, Yao, J., Huang, L., & Wang, Z. (2021). Identification of Isotonic Drought Stress and Salt Stress in Wheat Seedling Based on Plant Electric Signal. Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 52( 7), 231-236. doi:10.6041/j.issn.1000-1298.2021.07.024
NLM
Li J, Li Y, Oliveira RF de, Yao J, Huang L, Wang Z. Identification of Isotonic Drought Stress and Salt Stress in Wheat Seedling Based on Plant Electric Signal [Internet]. Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery. 2021 ; 52( 7): 231-236.[citado 2024 jul. 04 ] Available from: https://doi.org/10.6041/j.issn.1000-1298.2021.07.024
Vancouver
Li J, Li Y, Oliveira RF de, Yao J, Huang L, Wang Z. Identification of Isotonic Drought Stress and Salt Stress in Wheat Seedling Based on Plant Electric Signal [Internet]. Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery. 2021 ; 52( 7): 231-236.[citado 2024 jul. 04 ] Available from: https://doi.org/10.6041/j.issn.1000-1298.2021.07.024

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