Biocompatible wearable electrodes on leaves toward the on-site monitoring of water loss from plants (2022)
- Authors:
- USP affiliated authors: BARBOSA, JÚLIA ADORNO - IQSC ; LIMA, RENATO SOUSA - IQSC
- Unidade: IQSC
- DOI: 10.1021/acsami.2c02943
- Subjects: AGRICULTURA DE PRECISÃO; IMPEDÂNCIA ELÉTRICA; ELETRODO
- Keywords: flexible electrode; impedance; machine learning; wireless
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Washington, DC
- Date published: 2022
- Source:
- Título: ACS Applied Materials & Interfaces
- ISSN: 1944-8252
- Volume/Número/Paginação/Ano: v. 14, n. 20, p. 22989–23001, 2022
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BARBOSA, Júlia Adorno et al. Biocompatible wearable electrodes on leaves toward the on-site monitoring of water loss from plants. ACS Applied Materials & Interfaces, v. 14, n. 20, p. 22989–23001, 2022Tradução . . Disponível em: https://doi.org/10.1021/acsami.2c02943. Acesso em: 01 mar. 2026. -
APA
Barbosa, J. A., Freitas, V. M. S., Vidotto, L. H. B. V., Schleder, G. R., Oliveira, R. A. G. de, Rocha, J. F. da, et al. (2022). Biocompatible wearable electrodes on leaves toward the on-site monitoring of water loss from plants. ACS Applied Materials & Interfaces, 14( 20), 22989–23001. doi:10.1021/acsami.2c02943 -
NLM
Barbosa JA, Freitas VMS, Vidotto LHBV, Schleder GR, Oliveira RAG de, Rocha JF da, Kubota LT, Vieira LCS, Tolentino HCN, Neckel IT, Gobbi AL, Santhiago M, Lima RS. Biocompatible wearable electrodes on leaves toward the on-site monitoring of water loss from plants [Internet]. ACS Applied Materials & Interfaces. 2022 ; 14( 20): 22989–23001.[citado 2026 mar. 01 ] Available from: https://doi.org/10.1021/acsami.2c02943 -
Vancouver
Barbosa JA, Freitas VMS, Vidotto LHBV, Schleder GR, Oliveira RAG de, Rocha JF da, Kubota LT, Vieira LCS, Tolentino HCN, Neckel IT, Gobbi AL, Santhiago M, Lima RS. Biocompatible wearable electrodes on leaves toward the on-site monitoring of water loss from plants [Internet]. ACS Applied Materials & Interfaces. 2022 ; 14( 20): 22989–23001.[citado 2026 mar. 01 ] Available from: https://doi.org/10.1021/acsami.2c02943 - Machine learning toward high performance electrochemical sensors
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Informações sobre o DOI: 10.1021/acsami.2c02943 (Fonte: oaDOI API)
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