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Artigo de periodico
Estimation of biochemical compounds in Tradescantia leaves using VIS-NIR-SWIR hyperspectral and chlorophyll a fluorescence sensors (2024)
Falcioni, Renan ; Oliveira, Roney Berti de ; Chicati, Marcelo Luiz ; Antunes, Werner Camargos ; Demattê, José Alexandre Melo ; Nanni, Marcos Rafael
Source: Remote Sensing. Unidade: ESALQ
Subjects: BIOQUÍMICA VEGETAL, CLOROFILA, COMMELINALES, COMPONENTES PRINCIPAIS, ESPECTROSCOPIA, FOLHAS (PLANTAS), FLUORESCÊNCIA, MÍNIMOS QUADRADOS, SENSORIAMENTO REMOTO
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FALCIONI, Renan et al. Estimation of biochemical compounds in Tradescantia leaves using VIS-NIR-SWIR hyperspectral and chlorophyll a fluorescence sensors. Remote Sensing, v. 16, p. 1-25, 2024Tradução . . Disponível em: https://doi.org/10.3390/rs16111910. Acesso em: 05 nov. 2024.
APA
Falcioni, R., Oliveira, R. B. de, Chicati, M. L., Antunes, W. C., Demattê, J. A. M., & Nanni, M. R. (2024). Estimation of biochemical compounds in Tradescantia leaves using VIS-NIR-SWIR hyperspectral and chlorophyll a fluorescence sensors. Remote Sensing, 16, 1-25. doi:10.3390/rs16111910
NLM
Falcioni R, Oliveira RB de, Chicati ML, Antunes WC, Demattê JAM, Nanni MR. Estimation of biochemical compounds in Tradescantia leaves using VIS-NIR-SWIR hyperspectral and chlorophyll a fluorescence sensors [Internet]. Remote Sensing. 2024 ; 16 1-25.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/rs16111910
Vancouver
Falcioni R, Oliveira RB de, Chicati ML, Antunes WC, Demattê JAM, Nanni MR. Estimation of biochemical compounds in Tradescantia leaves using VIS-NIR-SWIR hyperspectral and chlorophyll a fluorescence sensors [Internet]. Remote Sensing. 2024 ; 16 1-25.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/rs16111910
Artigo de periodico
Hyperspectral and chlorophyll fluorescence analyses of comparative leaf surfaces reveal cellular influences on leaf optical properties in Tradescantia plants (2024)
Falcioni, Renan ; Antunes, Werner Camargos ; Oliveira, Roney Berti de ; Chicati, Marcelo Luiz ; Demattê, José Alexandre Melo ; Nanni, Marcos Rafael
Source: Cells. Unidade: ESALQ
Subjects: BIOQUÍMICA VEGETAL, CÉLULAS VEGETAIS, CLOROFILA, COMMELINALES, COMPONENTES PRINCIPAIS, ESPECTROSCOPIA, FLUORESCÊNCIA, FOLHAS (PLANTAS), SENSORIAMENTO REMOTO
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FALCIONI, Renan et al. Hyperspectral and chlorophyll fluorescence analyses of comparative leaf surfaces reveal cellular influences on leaf optical properties in Tradescantia plants. Cells, v. 13, p. 1-30, 2024Tradução . . Disponível em: https://doi.org/10.3390/cells13110952. Acesso em: 05 nov. 2024.
APA
Falcioni, R., Antunes, W. C., Oliveira, R. B. de, Chicati, M. L., Demattê, J. A. M., & Nanni, M. R. (2024). Hyperspectral and chlorophyll fluorescence analyses of comparative leaf surfaces reveal cellular influences on leaf optical properties in Tradescantia plants. Cells, 13, 1-30. doi:10.3390/cells13110952
NLM
Falcioni R, Antunes WC, Oliveira RB de, Chicati ML, Demattê JAM, Nanni MR. Hyperspectral and chlorophyll fluorescence analyses of comparative leaf surfaces reveal cellular influences on leaf optical properties in Tradescantia plants [Internet]. Cells. 2024 ; 13 1-30.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/cells13110952
Vancouver
Falcioni R, Antunes WC, Oliveira RB de, Chicati ML, Demattê JAM, Nanni MR. Hyperspectral and chlorophyll fluorescence analyses of comparative leaf surfaces reveal cellular influences on leaf optical properties in Tradescantia plants [Internet]. Cells. 2024 ; 13 1-30.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/cells13110952
Artigo de periodico
Decreased photosynthetic efficiency in Nicotiana tabacum L. under transient heat stress (2024)
Falcioni, Renan ; Chicati, Marcelo Luiz ; Oliveira, Roney Berti de ; Antunes, Werner Camargos ; Hasanuzzaman, Mirza ; Demattê, José Alexandre Melo ; Nanni, Marcos Rafael
Source: Plants. Unidade: ESALQ
Subjects: ESTRESSE, FLUORESCÊNCIA, CLOROFILA, FOTOSSÍNTESE, FUMO, TEMPERATURA, TRANSPORTE DE ELÉTRONS
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FALCIONI, Renan et al. Decreased photosynthetic efficiency in Nicotiana tabacum L. under transient heat stress. Plants, v. 13, p. 1-17, 2024Tradução . . Disponível em: https://doi.org/10.3390/plants13030395. Acesso em: 05 nov. 2024.
APA
Falcioni, R., Chicati, M. L., Oliveira, R. B. de, Antunes, W. C., Hasanuzzaman, M., Demattê, J. A. M., & Nanni, M. R. (2024). Decreased photosynthetic efficiency in Nicotiana tabacum L. under transient heat stress. Plants, 13, 1-17. doi:10.3390/plants13030395
NLM
Falcioni R, Chicati ML, Oliveira RB de, Antunes WC, Hasanuzzaman M, Demattê JAM, Nanni MR. Decreased photosynthetic efficiency in Nicotiana tabacum L. under transient heat stress [Internet]. Plants. 2024 ; 13 1-17.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/plants13030395
Vancouver
Falcioni R, Chicati ML, Oliveira RB de, Antunes WC, Hasanuzzaman M, Demattê JAM, Nanni MR. Decreased photosynthetic efficiency in Nicotiana tabacum L. under transient heat stress [Internet]. Plants. 2024 ; 13 1-17.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/plants13030395
Artigo de periodico
Comparative insights into photosynthetic, Biochemical, and ultrastructural mechanisms in hibiscus and pelargonium plants (2024)
Falcioni, Renan ; Antunes, Werner Camargos ; Oliveira, Roney Berti de ; Chicati, Marcelo Luiz ; Demattê, José Alexandre Melo ; Nanni, Marcos Rafael
Source: Plants. Unidade: ESALQ
Subjects: HIBISCO, CLOROPLASTOS VEGETAIS, FLUORESCÊNCIA, MITOCÔNDRIAS, CLOROFILA, ESPECTROSCOPIA, MICROSCOPIA, FOTOSSÍNTESE, GERÂNIO
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FALCIONI, Renan et al. Comparative insights into photosynthetic, Biochemical, and ultrastructural mechanisms in hibiscus and pelargonium plants. Plants, v. 13, p. 1-31, 2024Tradução . . Disponível em: https://doi.org/10.3390/plants13192831. Acesso em: 05 nov. 2024.
APA
Falcioni, R., Antunes, W. C., Oliveira, R. B. de, Chicati, M. L., Demattê, J. A. M., & Nanni, M. R. (2024). Comparative insights into photosynthetic, Biochemical, and ultrastructural mechanisms in hibiscus and pelargonium plants. Plants, 13, 1-31. doi:10.3390/plants13192831
NLM
Falcioni R, Antunes WC, Oliveira RB de, Chicati ML, Demattê JAM, Nanni MR. Comparative insights into photosynthetic, Biochemical, and ultrastructural mechanisms in hibiscus and pelargonium plants [Internet]. Plants. 2024 ; 13 1-31.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/plants13192831
Vancouver
Falcioni R, Antunes WC, Oliveira RB de, Chicati ML, Demattê JAM, Nanni MR. Comparative insights into photosynthetic, Biochemical, and ultrastructural mechanisms in hibiscus and pelargonium plants [Internet]. Plants. 2024 ; 13 1-31.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/plants13192831
Artigo de periodico
The use of Vis-NIR-SWIR spectroscopy and X-ray fluorescence in the development of predictive models: a step forward in the quantification of nitrogen, total organic carbon and humic fractions in ferralsols (2024)
Lima, Bruna Coelho de ; Demattê, José Alexandre Melo ; Santos, Carlos H. dos; Tiritan, Carlos S; Poppiel, Raul Roberto ; Nanni, Marcos R. ; Falcioni, Renan ; Oliveira, Caio A. de; Vedana, Nicole G; Zimmermann, Guilherme; Reis, Amanda S
Source: Remote Sensing. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, CARBONO, ESPECTROSCOPIA, FLUORESCÊNCIA, RAIOS X, MATÉRIA ORGÂNICA DO SOLO, NITROGÊNIO, SOLO ARENOSO
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LIMA, Bruna Coelho de et al. The use of Vis-NIR-SWIR spectroscopy and X-ray fluorescence in the development of predictive models: a step forward in the quantification of nitrogen, total organic carbon and humic fractions in ferralsols. Remote Sensing, v. 16, p. 1-19, 2024Tradução . . Disponível em: https://doi.org/10.3390/rs16163009. Acesso em: 05 nov. 2024.
APA
Lima, B. C. de, Demattê, J. A. M., Santos, C. H. dos, Tiritan, C. S., Poppiel, R. R., Nanni, M. R., et al. (2024). The use of Vis-NIR-SWIR spectroscopy and X-ray fluorescence in the development of predictive models: a step forward in the quantification of nitrogen, total organic carbon and humic fractions in ferralsols. Remote Sensing, 16, 1-19. doi:10.3390/rs16163009
NLM
Lima BC de, Demattê JAM, Santos CH dos, Tiritan CS, Poppiel RR, Nanni MR, Falcioni R, Oliveira CA de, Vedana NG, Zimmermann G, Reis AS. The use of Vis-NIR-SWIR spectroscopy and X-ray fluorescence in the development of predictive models: a step forward in the quantification of nitrogen, total organic carbon and humic fractions in ferralsols [Internet]. Remote Sensing. 2024 ; 16 1-19.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/rs16163009
Vancouver
Lima BC de, Demattê JAM, Santos CH dos, Tiritan CS, Poppiel RR, Nanni MR, Falcioni R, Oliveira CA de, Vedana NG, Zimmermann G, Reis AS. The use of Vis-NIR-SWIR spectroscopy and X-ray fluorescence in the development of predictive models: a step forward in the quantification of nitrogen, total organic carbon and humic fractions in ferralsols [Internet]. Remote Sensing. 2024 ; 16 1-19.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/rs16163009
Artigo de periodico
Fluorescence and hyperspectral sensors for nondestructive analysis and prediction of biophysical compounds in the green and purple leaves of Tradescantia plants (2024)
Falcioni, Renan ; Oliveira, Roney Berti de ; Chicati, Marcelo Luiz ; Antunes, Werner Camargos ; Demattê, José Alexandre Melo ; Nanni, Marcos Rafael
Source: Sensors. Unidade: ESALQ
Subjects: ANÁLISE ESPECTRAL, CLOROFILA, COMPONENTES PRINCIPAIS, FOLHAS (PLANTAS), FLUORESCÊNCIA, PLANTAS ORNAMENTAIS, QUIMIOMETRIA, SENSORES ÓPTICOS
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FALCIONI, Renan et al. Fluorescence and hyperspectral sensors for nondestructive analysis and prediction of biophysical compounds in the green and purple leaves of Tradescantia plants. Sensors, v. 24, p. 1-22, 2024Tradução . . Disponível em: https://doi.org/10.3390/s24196490. Acesso em: 05 nov. 2024.
APA
Falcioni, R., Oliveira, R. B. de, Chicati, M. L., Antunes, W. C., Demattê, J. A. M., & Nanni, M. R. (2024). Fluorescence and hyperspectral sensors for nondestructive analysis and prediction of biophysical compounds in the green and purple leaves of Tradescantia plants. Sensors, 24, 1-22. doi:10.3390/s24196490
NLM
Falcioni R, Oliveira RB de, Chicati ML, Antunes WC, Demattê JAM, Nanni MR. Fluorescence and hyperspectral sensors for nondestructive analysis and prediction of biophysical compounds in the green and purple leaves of Tradescantia plants [Internet]. Sensors. 2024 ; 24 1-22.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s24196490
Vancouver
Falcioni R, Oliveira RB de, Chicati ML, Antunes WC, Demattê JAM, Nanni MR. Fluorescence and hyperspectral sensors for nondestructive analysis and prediction of biophysical compounds in the green and purple leaves of Tradescantia plants [Internet]. Sensors. 2024 ; 24 1-22.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s24196490
Artigo de periodico
Biophysical, biochemical, and photochemical analyses using reflectance hyperspectroscopy and chlorophyll a fluorescence kinetics in variegated leaves (2023)
Falcioni, Renan ; Antunes, Werner Camargos ; Demattê, José Alexandre Melo ; Nanni, Marcos Rafael
Source: Biology. Unidade: ESALQ
Subjects: ANÁLISE MULTIVARIADA, CLOROFILA, ESPECTROSCOPIA ÓPTICA, FLUORESCÊNCIA, FOLHAS (PLANTAS), FOTOQUÍMICA, FOTOSSÍNTESE, PIGMENTOS VEGETAIS
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FALCIONI, Renan et al. Biophysical, biochemical, and photochemical analyses using reflectance hyperspectroscopy and chlorophyll a fluorescence kinetics in variegated leaves. Biology, v. 12, p. 1-24, 2023Tradução . . Disponível em: https://doi.org/10.3390/biology12050704. Acesso em: 05 nov. 2024.
APA
Falcioni, R., Antunes, W. C., Demattê, J. A. M., & Nanni, M. R. (2023). Biophysical, biochemical, and photochemical analyses using reflectance hyperspectroscopy and chlorophyll a fluorescence kinetics in variegated leaves. Biology, 12, 1-24. doi:10.3390/biology12050704
NLM
Falcioni R, Antunes WC, Demattê JAM, Nanni MR. Biophysical, biochemical, and photochemical analyses using reflectance hyperspectroscopy and chlorophyll a fluorescence kinetics in variegated leaves [Internet]. Biology. 2023 ; 12 1-24.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/biology12050704
Vancouver
Falcioni R, Antunes WC, Demattê JAM, Nanni MR. Biophysical, biochemical, and photochemical analyses using reflectance hyperspectroscopy and chlorophyll a fluorescence kinetics in variegated leaves [Internet]. Biology. 2023 ; 12 1-24.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/biology12050704
Artigo de periodico
Enhancing pigment phenotyping and classification in lettuce through the integration of reflectance spectroscopy and AI algorithms (2023)
Falcioni, Renan ; Gonçalves, João Vitor Ferreira ; Oliveira, Karym Mayara de ; Oliveira, Caio Almeida de ; Demattê, José Alexandre Melo ; Antunes, Werner Camargos ; Nanni, Marcos Rafael
Source: Plants. Unidade: ESALQ
Subjects: ALFACE, FENÓTIPOS, PIGMENTOS VEGETAIS, ESPECTROSCOPIA, INTELIGÊNCIA ARTIFICIAL, VARIEDADES VEGETAIS, ALGORITMOS
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FALCIONI, Renan et al. Enhancing pigment phenotyping and classification in lettuce through the integration of reflectance spectroscopy and AI algorithms. Plants, v. 12, p. 1-15, 2023Tradução . . Disponível em: https://doi.org/10.3390/plants12061333. Acesso em: 05 nov. 2024.
APA
Falcioni, R., Gonçalves, J. V. F., Oliveira, K. M. de, Oliveira, C. A. de, Demattê, J. A. M., Antunes, W. C., & Nanni, M. R. (2023). Enhancing pigment phenotyping and classification in lettuce through the integration of reflectance spectroscopy and AI algorithms. Plants, 12, 1-15. doi:10.3390/plants12061333
NLM
Falcioni R, Gonçalves JVF, Oliveira KM de, Oliveira CA de, Demattê JAM, Antunes WC, Nanni MR. Enhancing pigment phenotyping and classification in lettuce through the integration of reflectance spectroscopy and AI algorithms [Internet]. Plants. 2023 ; 12 1-15.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/plants12061333
Vancouver
Falcioni R, Gonçalves JVF, Oliveira KM de, Oliveira CA de, Demattê JAM, Antunes WC, Nanni MR. Enhancing pigment phenotyping and classification in lettuce through the integration of reflectance spectroscopy and AI algorithms [Internet]. Plants. 2023 ; 12 1-15.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/plants12061333
Artigo de periodico
Reflectance spectroscopy for the classification and prediction of pigments in agronomic crops (2023)
Falcioni, Renan ; Antunes, Werner Camargos ; Demattê, José Alexandre Melo ; Nanni, Marcos Rafael
Source: Plants. Unidade: ESALQ
Assunto: SENSORIAMENTO REMOTO
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FALCIONI, Renan et al. Reflectance spectroscopy for the classification and prediction of pigments in agronomic crops. Plants, v. 12, p. 1-19, 2023Tradução . . Disponível em: https://doi.org/10.3390/plants12122347. Acesso em: 05 nov. 2024.
APA
Falcioni, R., Antunes, W. C., Demattê, J. A. M., & Nanni, M. R. (2023). Reflectance spectroscopy for the classification and prediction of pigments in agronomic crops. Plants, 12, 1-19. doi:10.3390/plants12122347
NLM
Falcioni R, Antunes WC, Demattê JAM, Nanni MR. Reflectance spectroscopy for the classification and prediction of pigments in agronomic crops [Internet]. Plants. 2023 ; 12 1-19.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/plants12122347
Vancouver
Falcioni R, Antunes WC, Demattê JAM, Nanni MR. Reflectance spectroscopy for the classification and prediction of pigments in agronomic crops [Internet]. Plants. 2023 ; 12 1-19.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/plants12122347
Artigo de periodico
A novel method for estimating Chlorophyll and carotenoid concentrations in leaves: a two hyperspectral sensor approach (2023)
Falcioni, Renan; Antunes, Werner Camargos; Demattê, José Alexandre Melo ; Nanni, Marcos Rafael
Source: Sensors. Unidade: ESALQ
Subjects: ANÁLISE ESPECTRAL, CAROTENOIDES, CLOROFILA, FOLHAS (PLANTAS), MICROSCOPIA ELETRÔNICA, MÍNIMOS QUADRADOS, REGRESSÃO LINEAR, SENSOR
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FALCIONI, Renan et al. A novel method for estimating Chlorophyll and carotenoid concentrations in leaves: a two hyperspectral sensor approach. Sensors, v. 23, p. 1-21, 2023Tradução . . Disponível em: https://doi.org/10.3390/s23083843. Acesso em: 05 nov. 2024.
APA
Falcioni, R., Antunes, W. C., Demattê, J. A. M., & Nanni, M. R. (2023). A novel method for estimating Chlorophyll and carotenoid concentrations in leaves: a two hyperspectral sensor approach. Sensors, 23, 1-21. doi:10.3390/s23083843
NLM
Falcioni R, Antunes WC, Demattê JAM, Nanni MR. A novel method for estimating Chlorophyll and carotenoid concentrations in leaves: a two hyperspectral sensor approach [Internet]. Sensors. 2023 ; 23 1-21.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s23083843
Vancouver
Falcioni R, Antunes WC, Demattê JAM, Nanni MR. A novel method for estimating Chlorophyll and carotenoid concentrations in leaves: a two hyperspectral sensor approach [Internet]. Sensors. 2023 ; 23 1-21.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/s23083843
Artigo de periodico
Chemometric analysis for the prediction of biochemical compounds in leaves using UV-VIS-NIR-SWIR hyperspectroscopy (2023)
Falcioni, Renan ; Gonçalves, João Vitor Ferreira ; Oliveira, Karym Mayara de; Oliveira, Caio Almeida de; Reis, Amanda Silveira ; Crusiol, Luis Guilherme Teixeira; Furlanetto, Renato Herrig; Antunes, Werner Camargos ; Cezar, Everson ; Oliveira, Roney Berti de ; Chicati, Marcelo Luiz; Demattê, José Alexandre Melo ; Nanni, Marcos Rafael
Source: Plants. Unidade: ESALQ
Subjects: ALGORITMOS, COMPOSIÇÃO QUÍMICA, ESPECTROSCOPIA, FOLHAS (PLANTAS), GERÂNIO, HIBISCO, MÍNIMOS QUADRADOS, MODELOS MATEMÁTICOS, QUIMIOMETRIA
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FALCIONI, Renan et al. Chemometric analysis for the prediction of biochemical compounds in leaves using UV-VIS-NIR-SWIR hyperspectroscopy. Plants, v. 12, p. 1-24, 2023Tradução . . Disponível em: https://doi.org/10.3390/plants12193424. Acesso em: 05 nov. 2024.
APA
Falcioni, R., Gonçalves, J. V. F., Oliveira, K. M. de, Oliveira, C. A. de, Reis, A. S., Crusiol, L. G. T., et al. (2023). Chemometric analysis for the prediction of biochemical compounds in leaves using UV-VIS-NIR-SWIR hyperspectroscopy. Plants, 12, 1-24. doi:10.3390/plants12193424
NLM
Falcioni R, Gonçalves JVF, Oliveira KM de, Oliveira CA de, Reis AS, Crusiol LGT, Furlanetto RH, Antunes WC, Cezar E, Oliveira RB de, Chicati ML, Demattê JAM, Nanni MR. Chemometric analysis for the prediction of biochemical compounds in leaves using UV-VIS-NIR-SWIR hyperspectroscopy [Internet]. Plants. 2023 ; 12 1-24.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/plants12193424
Vancouver
Falcioni R, Gonçalves JVF, Oliveira KM de, Oliveira CA de, Reis AS, Crusiol LGT, Furlanetto RH, Antunes WC, Cezar E, Oliveira RB de, Chicati ML, Demattê JAM, Nanni MR. Chemometric analysis for the prediction of biochemical compounds in leaves using UV-VIS-NIR-SWIR hyperspectroscopy [Internet]. Plants. 2023 ; 12 1-24.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/plants12193424
Artigo de periodico
Non−invasive assessment, classification, and prediction of biophysical parameters using reflectance hyperspectroscopy (2023)
Falcioni, Renan ; Santos, Glaucio Leboso Alemparte Abrantes dos ; Crusiol, Luis Guilherme Teixeira; Antunes, Werner Camargos ; Chicati, Marcelo Luiz ; Oliveira, Roney Berti de ; Demattê, José Alexandre Melo ; Nanni, Marcos Rafael
Source: Plants. Unidade: ESALQ
Subjects: ALGORITMOS, ANÁLISE MULTIVARIADA, CRESCIMENTO VEGETAL, ESPECTROSCOPIA INFRAVERMELHA, FUMO, MÍNIMOS QUADRADOS, MORFOLOGIA VEGETAL, SENSORIAMENTO REMOTO
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FALCIONI, Renan et al. Non−invasive assessment, classification, and prediction of biophysical parameters using reflectance hyperspectroscopy. Plants, v. 12, n. 13, p. 1-27, 2023Tradução . . Disponível em: https://doi.org/10.3390/plants12132526. Acesso em: 05 nov. 2024.
APA
Falcioni, R., Santos, G. L. A. A. dos, Crusiol, L. G. T., Antunes, W. C., Chicati, M. L., Oliveira, R. B. de, et al. (2023). Non−invasive assessment, classification, and prediction of biophysical parameters using reflectance hyperspectroscopy. Plants, 12( 13), 1-27. doi:10.3390/plants12132526
NLM
Falcioni R, Santos GLAA dos, Crusiol LGT, Antunes WC, Chicati ML, Oliveira RB de, Demattê JAM, Nanni MR. Non−invasive assessment, classification, and prediction of biophysical parameters using reflectance hyperspectroscopy [Internet]. Plants. 2023 ; 12( 13): 1-27.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/plants12132526
Vancouver
Falcioni R, Santos GLAA dos, Crusiol LGT, Antunes WC, Chicati ML, Oliveira RB de, Demattê JAM, Nanni MR. Non−invasive assessment, classification, and prediction of biophysical parameters using reflectance hyperspectroscopy [Internet]. Plants. 2023 ; 12( 13): 1-27.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/plants12132526
Artigo de periodico
Assessment of combined reflectance, transmittance, and absorbance hyperspectral sensors for prediction of chlorophyll a fluorescence parameters (2023)
Falcioni, Renan ; Antunes, Werner Camargos ; Oliveira, Roney Berti de ; Chicati, Marcelo Luiz ; Demattê, José Alexandre Melo ; Nanni, Marcos Rafael
Source: Remote Sensing. Unidade: ESALQ
Subjects: ANÁLISE MULTIVARIADA, CLOROFILA, FLUORESCÊNCIA, ESPECTROSCOPIA, FOLHAS (PLANTAS), GERÂNIO, HIBISCO, MODELOS MATEMÁTICOS, SENSORIAMENTO REMOTO
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FALCIONI, Renan et al. Assessment of combined reflectance, transmittance, and absorbance hyperspectral sensors for prediction of chlorophyll a fluorescence parameters. Remote Sensing, v. 15, p. 1-23, 2023Tradução . . Disponível em: https://doi.org/10.3390/rs15205067. Acesso em: 05 nov. 2024.
APA
Falcioni, R., Antunes, W. C., Oliveira, R. B. de, Chicati, M. L., Demattê, J. A. M., & Nanni, M. R. (2023). Assessment of combined reflectance, transmittance, and absorbance hyperspectral sensors for prediction of chlorophyll a fluorescence parameters. Remote Sensing, 15, 1-23. doi:10.3390/rs15205067
NLM
Falcioni R, Antunes WC, Oliveira RB de, Chicati ML, Demattê JAM, Nanni MR. Assessment of combined reflectance, transmittance, and absorbance hyperspectral sensors for prediction of chlorophyll a fluorescence parameters [Internet]. Remote Sensing. 2023 ; 15 1-23.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/rs15205067
Vancouver
Falcioni R, Antunes WC, Oliveira RB de, Chicati ML, Demattê JAM, Nanni MR. Assessment of combined reflectance, transmittance, and absorbance hyperspectral sensors for prediction of chlorophyll a fluorescence parameters [Internet]. Remote Sensing. 2023 ; 15 1-23.[citado 2024 nov. 05 ] Available from: https://doi.org/10.3390/rs15205067
Artigo de periodico
Soil legacy phosphorus after 10 years of annual dairy liquid manure application in a no‐tillage system (2022)
Gotz, Lenir Fátima ; Favaretto, Nerilde; Barth, Gabriel; Pavinato, Paulo Sergio ; Pauletti, Volnei
Source: Soil Use and Management. Unidade: ESALQ
Subjects: ADUBOS LÍQUIDOS, ESTERCO, FÓSFORO, LATICÍNIOS, LATOSSOLOS, NUTRIÇÃO VEGETAL, PLANTIO DIRETO, QUALIDADE DO SOLO
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ABNT
GOTZ, Lenir Fátima et al. Soil legacy phosphorus after 10 years of annual dairy liquid manure application in a no‐tillage system. Soil Use and Management, p. 1-12, 2022Tradução . . Disponível em: https://doi.org/10.1111/sum.12870. Acesso em: 05 nov. 2024.
APA
Gotz, L. F., Favaretto, N., Barth, G., Pavinato, P. S., & Pauletti, V. (2022). Soil legacy phosphorus after 10 years of annual dairy liquid manure application in a no‐tillage system. Soil Use and Management, 1-12. doi:10.1111/sum.12870
NLM
Gotz LF, Favaretto N, Barth G, Pavinato PS, Pauletti V. Soil legacy phosphorus after 10 years of annual dairy liquid manure application in a no‐tillage system [Internet]. Soil Use and Management. 2022 ; 1-12.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1111/sum.12870
Vancouver
Gotz LF, Favaretto N, Barth G, Pavinato PS, Pauletti V. Soil legacy phosphorus after 10 years of annual dairy liquid manure application in a no‐tillage system [Internet]. Soil Use and Management. 2022 ; 1-12.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1111/sum.12870
Artigo de periodico
A “Dirty” Footprint: Macroinvertebrate diversity in Amazonian Anthropic Soils (2021)
Demetrio, Wilian C; Conrado, Ana C; Acioli, Agno N. S; Neves, Eduardo Goes ; Vidal Torrado, Pablo
Source: Global Change Biology. Unidades: MAE, ESALQ
Subjects: BIODIVERSIDADE, CUPIM, FERTILIDADE DO SOLO, FLORESTAS TROPICAIS, FORMIGAS, INVERTEBRADOS DO SOLO, MINHOCAS, BACIA AMAZÔNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DEMETRIO, Wilian C et al. A “Dirty” Footprint: Macroinvertebrate diversity in Amazonian Anthropic Soils. Global Change Biology, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.1111/gcb.15752. Acesso em: 05 nov. 2024.
APA
Demetrio, W. C., Conrado, A. C., Acioli, A. N. S., Neves, E. G., & Vidal Torrado, P. (2021). A “Dirty” Footprint: Macroinvertebrate diversity in Amazonian Anthropic Soils. Global Change Biology, 1-17. doi:10.1111/gcb.15752
NLM
Demetrio WC, Conrado AC, Acioli ANS, Neves EG, Vidal Torrado P. A “Dirty” Footprint: Macroinvertebrate diversity in Amazonian Anthropic Soils [Internet]. Global Change Biology. 2021 ; 1-17.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1111/gcb.15752
Vancouver
Demetrio WC, Conrado AC, Acioli ANS, Neves EG, Vidal Torrado P. A “Dirty” Footprint: Macroinvertebrate diversity in Amazonian Anthropic Soils [Internet]. Global Change Biology. 2021 ; 1-17.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1111/gcb.15752

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