|
|
Registros recuperados : 6 | |
1. | | VIANA, J. V. S.; DANTAS, L. P.; PAULA, O. R. de; BARRETO, B. B.; MILORI, D. M. B. P. Utilização de machine learning para classificação de plantas saudáveis e plantas submetidas ao estresse. In: JORNADA CIENTÍFICA - EMBRAPA SÃO CARLOS, 15., 2023, São Carlos, SP. Anais... São Carlos: Embrapa Pecuária Sudeste: Embrapa Instrumentação, 2023. Coordenadores:Cintia Righetti Marcondes; Daniel Souza Corrêa 34 p. Biblioteca(s): Embrapa Instrumentação. |
| |
2. | | DANTAS, L. P.; PAULA, O. R. de; VIANA, J. V. S.; BARRETO, B. B.; MILORI, D. M. B. P.; VILLAS BOAS, P. R. Técnica de imagem termográfica para diagnosticar precocemente o ataque de nematoide. In: JORNADA CIENTÍFICA - EMBRAPA SÃO CARLOS, 15., 2023, São Carlos, SP. Anais... São Carlos: Embrapa Pecuária Sudeste: Embrapa Instrumentação, 2023. Coordenadores:Cintia Righetti Marcondes; Daniel Souza Corrêa 41 p. Biblioteca(s): Embrapa Instrumentação. |
| |
3. | | GONÇALVES, M. E. C.; BARRETO, B. B.; GONÇALVES, G. F. F.; DANTAS, L. P.; GUSMAO, M. R.; VILLAS BOAS, P. R. Detecção em casa de vegetação e a campo da resposta fisiológica de milho sob ataque inicial de Spodoptera frugiperda e Dichelops melacanthus. In: JORNADA CIENTÍFICA DA EMBRAPA SÃO CARLOS, 14., 2022, São Carlos, SP. Anais... São Carlos, SP: Embrapa Instrumentação; Embrapa Pecuária Sudeste, 2022. p. 52. (Embrapa Instrumentação. Documentos, 73). Biblioteca(s): Embrapa Pecuária Sudeste. |
| |
4. | | GONÇALVES, M E. C.; BARRETO, B. B.; GONÇALVES, G. F. F.; DANTAS, L. P.; GUSMÃO, M. R.; VILLAS BOAS, P. R. Detecção em casa de vegetação e a campo da resposta fisiológica de milho sob ataque inicial de Spodoptera frugiperda e Dichelops melacanthus In: JORNADA CIENTÍFICA - EMBRAPA SÃO CARLOS, 14., 2022, São Carlos, SP. Anais... São Carlos: Embrapa Instrumentação: Embrapa Pecuária Sudeste, 2022. Editores técnicos: Cristiane Sanchez Farinas, Daniel Souza Corrêa, Maria Alice Martins, Maria Fernanda Berlingieri Durigan, Paulo Sérgio de Paula Herrmann Júnior. 52 Biblioteca(s): Embrapa Instrumentação. |
| |
5. | | BABOS, D. V.; TADINI, A. M.; MORAIS, C. P. DE; BARRETO, B. B.; CARVALHO, M. A. R.; BERNARDI, A. C. de C.; OLIVEIRA, P. P. A.; PEZZOPANE, J. R. M.; MILORI, D. M. B. P.; MARTIN NETO, L. Laser-induced breakdown spectroscopy (LIBS) as an analytical tool in precision agriculture: evaluation of spatial variability of soil fertility in integrated agricultural production systems. Catena, v. 239, 107914, 2024. 13 p. Biblioteca(s): Embrapa Instrumentação; Embrapa Pecuária Sudeste. |
| |
6. | | DANTAS, L. P.; REIS, M. T. de F.; TRINDADE, M. C.; GONÇALVES, M. E. C.; BARRETO, B. B.; DAREZZO, H.; MILORI, D. M. B. P.; VILLAS BOAS, P. R. Técnica de fluorescência para diagnosticar o ataque precoce de nematoide. In: JORNADA CIENTÍFICA - EMBRAPA SÃO CARLOS, 14., 2022, São Carlos, SP. Anais... São Carlos: Embrapa Instrumentação: Embrapa Pecuária Sudeste, 2022. Editores técnicos: Cristiane Sanchez Farinas, Daniel Souza Corrêa, Maria Alice Martins, Maria Fernanda Berlingieri Durigan, Paulo Sérgio de Paula Herrmann Júnior. 40 p. Biblioteca(s): Embrapa Instrumentação. |
| |
Registros recuperados : 6 | |
|
|
| Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Instrumentação; Embrapa Pecuária Sudeste. |
Data corrente: |
08/04/2024 |
Data da última atualização: |
09/04/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
BABOS, D. V.; TADINI, A. M.; MORAIS, C. P. DE; BARRETO, B. B.; CARVALHO, M. A. R.; BERNARDI, A. C. de C.; OLIVEIRA, P. P. A.; PEZZOPANE, J. R. M.; MILORI, D. M. B. P.; MARTIN NETO, L. |
Afiliação: |
DIEGO V. BABOS; AMANDA M. TADINI; CARLA P. DE MORAIS, Logiag Inc.; BIANCA B. BARRETO; MAYARA A. R. CARVALHO; ALBERTO CARLOS DE CAMPOS BERNARDI, CPPSE; PATRICIA PERONDI ANCHAO OLIVEIRA, CPPSE; JOSE RICARDO MACEDO PEZZOPANE, CPPSE; DEBORA MARCONDES BASTOS PEREIRA, CNPDIA; LADISLAU MARTIN NETO, CNPDIA. |
Título: |
Laser-induced breakdown spectroscopy (LIBS) as an analytical tool in precision agriculture: evaluation of spatial variability of soil fertility in integrated agricultural production systems. |
Ano de publicação: |
2024 |
Fonte/Imprenta: |
Catena, v. 239, 107914, 2024. |
Páginas: |
13 p. |
DOI: |
10.1016/j.catena.2024.107914 |
Idioma: |
Inglês |
Conteúdo: |
The rapid determination of soil fertility assists in improving agricultural production and reducing environmental impacts. With a new concept of precision agriculture and digital agriculture, new demands have been generated using sensors, methods, and protocols to improve analysis time and agricultural production. In this context, multivariate calibration models (multiple linear regression) were calculated for the indirect prediction of eight parameters of soil fertility, pH (H2O and CaCl2 extractors), cation exchange capacity, sum of bases, base saturation, Ca-exchangeable, Mg-exchangeable, and labile P, using laser-induced breakdown spectroscopy (LIBS), and also, for some parameters laser-induced fluorescence spectroscopy. Soil samples from a native forest (NF) and different agricultural production systems, such as integrated crop-livestock-forest system (CLFS), integrated livestock-forest system (LFS), integrated crop-livestock system (CLS), extensive (EXT), and intensive (INT) pastures, were collected from 0 to 40 cm depth (195 samples). Calibration models with good performance (0.62 ≤ R2 values ≤ 0.87, and 1.61 ≤ residual prediction deviation values ≤ 2.86) and adequate root mean squared error of prediction (RMSEP) values were obtained for the seven fertility parameters (0.74 ≤ r values ≤ 0.97, for the validation set), except for labile P (r = 0.44 and RPD = 1.35). Through principal component analysis (PCA) it was verified the formation of two clusters, referring to samples of more fertile soils of the production systems (CLFS and LFS) and NF that present the tree variable, and the other group referring to samples of soils of low fertility (EXT, INT, and CLS). To evaluate and exemplify the use of LIBS for precision and digital agriculture, in-depth soil chemical attributes and spatial variability, maps were obtained for an analyzed area of the integrated CLFS. The
LIBS technique can determine and assist in evaluating the variability of soil fertility attributes with reliability, agility (without the need for extraction procedures since the soil is thoroughly analyzed in the form of pellets), and accuracy. MenosThe rapid determination of soil fertility assists in improving agricultural production and reducing environmental impacts. With a new concept of precision agriculture and digital agriculture, new demands have been generated using sensors, methods, and protocols to improve analysis time and agricultural production. In this context, multivariate calibration models (multiple linear regression) were calculated for the indirect prediction of eight parameters of soil fertility, pH (H2O and CaCl2 extractors), cation exchange capacity, sum of bases, base saturation, Ca-exchangeable, Mg-exchangeable, and labile P, using laser-induced breakdown spectroscopy (LIBS), and also, for some parameters laser-induced fluorescence spectroscopy. Soil samples from a native forest (NF) and different agricultural production systems, such as integrated crop-livestock-forest system (CLFS), integrated livestock-forest system (LFS), integrated crop-livestock system (CLS), extensive (EXT), and intensive (INT) pastures, were collected from 0 to 40 cm depth (195 samples). Calibration models with good performance (0.62 ≤ R2 values ≤ 0.87, and 1.61 ≤ residual prediction deviation values ≤ 2.86) and adequate root mean squared error of prediction (RMSEP) values were obtained for the seven fertility parameters (0.74 ≤ r values ≤ 0.97, for the validation set), except for labile P (r = 0.44 and RPD = 1.35). Through principal component analysis (PCA) it was verified the formation of two clusters, referring to sam... Mostrar Tudo |
Palavras-Chave: |
Digital agriculture; Integrated production system; Soil sensing; Tropical soil. |
Thesaurus NAL: |
Soil pH. |
Categoria do assunto: |
-- X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 03167naa a2200313 a 4500 001 2163391 005 2024-04-09 008 2024 bl uuuu u00u1 u #d 024 7 $a10.1016/j.catena.2024.107914$2DOI 100 1 $aBABOS, D. V. 245 $aLaser-induced breakdown spectroscopy (LIBS) as an analytical tool in precision agriculture$bevaluation of spatial variability of soil fertility in integrated agricultural production systems.$h[electronic resource] 260 $c2024 300 $a13 p. 520 $aThe rapid determination of soil fertility assists in improving agricultural production and reducing environmental impacts. With a new concept of precision agriculture and digital agriculture, new demands have been generated using sensors, methods, and protocols to improve analysis time and agricultural production. In this context, multivariate calibration models (multiple linear regression) were calculated for the indirect prediction of eight parameters of soil fertility, pH (H2O and CaCl2 extractors), cation exchange capacity, sum of bases, base saturation, Ca-exchangeable, Mg-exchangeable, and labile P, using laser-induced breakdown spectroscopy (LIBS), and also, for some parameters laser-induced fluorescence spectroscopy. Soil samples from a native forest (NF) and different agricultural production systems, such as integrated crop-livestock-forest system (CLFS), integrated livestock-forest system (LFS), integrated crop-livestock system (CLS), extensive (EXT), and intensive (INT) pastures, were collected from 0 to 40 cm depth (195 samples). Calibration models with good performance (0.62 ≤ R2 values ≤ 0.87, and 1.61 ≤ residual prediction deviation values ≤ 2.86) and adequate root mean squared error of prediction (RMSEP) values were obtained for the seven fertility parameters (0.74 ≤ r values ≤ 0.97, for the validation set), except for labile P (r = 0.44 and RPD = 1.35). Through principal component analysis (PCA) it was verified the formation of two clusters, referring to samples of more fertile soils of the production systems (CLFS and LFS) and NF that present the tree variable, and the other group referring to samples of soils of low fertility (EXT, INT, and CLS). To evaluate and exemplify the use of LIBS for precision and digital agriculture, in-depth soil chemical attributes and spatial variability, maps were obtained for an analyzed area of the integrated CLFS. The LIBS technique can determine and assist in evaluating the variability of soil fertility attributes with reliability, agility (without the need for extraction procedures since the soil is thoroughly analyzed in the form of pellets), and accuracy. 650 $aSoil pH 653 $aDigital agriculture 653 $aIntegrated production system 653 $aSoil sensing 653 $aTropical soil 700 1 $aTADINI, A. M. 700 1 $aMORAIS, C. P. DE 700 1 $aBARRETO, B. B. 700 1 $aCARVALHO, M. A. R. 700 1 $aBERNARDI, A. C. de C. 700 1 $aOLIVEIRA, P. P. A. 700 1 $aPEZZOPANE, J. R. M. 700 1 $aMILORI, D. M. B. P. 700 1 $aMARTIN NETO, L. 773 $tCatena$gv. 239, 107914, 2024.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
Nenhum registro encontrado para a expressão de busca informada. |
|
|