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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
09/04/2019 |
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Data da última atualização: |
09/04/2019 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
GOMIDE, R. L.; INAMASU, R. Y.; QUEIROZ, D. M.; MANTOVANI, E. C.; SANTOS, W. F. |
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Afiliação: |
REINALDO LUCIO GOMIDE, CNPMS; RICARDO YASSUSHI INAMASU, CNPDIA; Daniel M. Queiroz, Universidade Federal de Viçosa; EVANDRO CHARTUNI MANTOVANI, CNPMS; Werner F. Santos, AGCO do Brasil. |
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Título: |
An automatic data acquisition and control mobile laboratory network for crop production systems data management and spatial variability studies in the Brazilian Center-West Region. |
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Ano de publicação: |
2001 |
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Fonte/Imprenta: |
In: ASAE ANNUAL INTERNATIONAL MEETING, 2001, Sacramento. Technical paper... St.Joseph: ASAE, 2001. |
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Idioma: |
Inglês |
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Conteúdo: |
This paper describes ali too/s and procedures used to structure and implement an automatic data acquisition and control mobile laboratory network for crop production systems data management and spatial variability studies in the Brazilian Center-West Region. It was set up with base in remote sensing and microprocessor techniques, microelectronic devices, sensors, controls, samp!ing systems, data loggers, portable microcomputers, automatic data acquisition, RF communications link, and lhe global positioning system (GPS), allowing for the acquisition of spatial/y related data during tilling, planting, and harvesting. Physical chemistries and biological characteristics of the continuous soil-water-plant-atmosphere were monitored along of the crop growth period, at field conditions, seeking the rationalization of the agricultural inputs use and the performance improvement of agricultural systems. Some results are presented. |
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Palavras-Chave: |
Gerenciamento de dados; Variabilidade espacial. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/195634/1/Automatic-data.pdf
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Marc: |
LEADER 01639nam a2200181 a 4500
001 2108033
005 2019-04-09
008 2001 bl uuuu u00u1 u #d
100 1 $aGOMIDE, R. L.
245 $aAn automatic data acquisition and control mobile laboratory network for crop production systems data management and spatial variability studies in the Brazilian Center-West Region.$h[electronic resource]
260 $aIn: ASAE ANNUAL INTERNATIONAL MEETING, 2001, Sacramento. Technical paper... St.Joseph: ASAE$c2001
520 $aThis paper describes ali too/s and procedures used to structure and implement an automatic data acquisition and control mobile laboratory network for crop production systems data management and spatial variability studies in the Brazilian Center-West Region. It was set up with base in remote sensing and microprocessor techniques, microelectronic devices, sensors, controls, samp!ing systems, data loggers, portable microcomputers, automatic data acquisition, RF communications link, and lhe global positioning system (GPS), allowing for the acquisition of spatial/y related data during tilling, planting, and harvesting. Physical chemistries and biological characteristics of the continuous soil-water-plant-atmosphere were monitored along of the crop growth period, at field conditions, seeking the rationalization of the agricultural inputs use and the performance improvement of agricultural systems. Some results are presented.
653 $aGerenciamento de dados
653 $aVariabilidade espacial
700 1 $aINAMASU, R. Y.
700 1 $aQUEIROZ, D. M.
700 1 $aMANTOVANI, E. C.
700 1 $aSANTOS, W. F.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Cutter |
Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
26/06/2023 |
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Data da última atualização: |
26/06/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
VIANA, J. H. M.; ALBUQUERQUE FILHO, M. R. de; SANTOS, F. C. dos; LADEIRA, D. de A. |
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Afiliação: |
JOAO HERBERT MOREIRA VIANA, CNPMS; MANOEL RICARDO DE ALBUQUERQUE FILHO, CNPMS; FLAVIA CRISTINA DOS SANTOS, CNPMS; DANIELA DE A. LADEIRA, Universidade Federal de São João del-Rei. |
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Título: |
Nonlinear modeling of liming reaction and extractable base curves. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Revista Brasileira de Engenharia Agrícola e Ambiental, v. 27, n. 10, p. 820-827, 2023. |
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DOI: |
http://dx.doi.org/10.1590/1807-1929/agriambi.v25n1p3-9 |
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Idioma: |
Inglês |
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Conteúdo: |
Modeling the response of soils to liming is important for understanding neutralization reactions and predicting lime residual effects. Models based on simple or quadratic polynomial equations are the most used due to their simplicity and ease of fitting; however, they fail to reproduce a realistic soil response to liming, indicating a decrease in pH as the lime dose is increased after reaching a maximum point. Thus, several nonlinear functions were tested and compared to polynomial models, using a dataset from a liming test conducted on a sandy clay loam soil in a farm. The best-fitting models for pH data were the Mitscherlich, three-parameter logistic, and MorganMercer-Flodin models. The best-fitting models for exchangeable Ca+2 + Mg+2 data were Skaggs et al., Gompertz, and Morgan- Mercer-Flodin. The use of the proposed T index, which ranks models based on their residual standard error and Akaike information criterion values, combined with constraints on extrapolation values, was useful for selecting models that are statistically robust and empirically coherent |
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Palavras-Chave: |
Correção de pH; Funções não lineares; Nonlinear functions; PH correction. |
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Thesagro: |
Calagem; Solo. |
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Thesaurus NAL: |
Liming. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1154604/1/Nonlinear-modeling-of-liming-reaction-and-extractable-base-curves.pdf
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Marc: |
LEADER 01875naa a2200253 a 4500
001 2154604
005 2023-06-26
008 2023 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1590/1807-1929/agriambi.v25n1p3-9$2DOI
100 1 $aVIANA, J. H. M.
245 $aNonlinear modeling of liming reaction and extractable base curves.$h[electronic resource]
260 $c2023
520 $aModeling the response of soils to liming is important for understanding neutralization reactions and predicting lime residual effects. Models based on simple or quadratic polynomial equations are the most used due to their simplicity and ease of fitting; however, they fail to reproduce a realistic soil response to liming, indicating a decrease in pH as the lime dose is increased after reaching a maximum point. Thus, several nonlinear functions were tested and compared to polynomial models, using a dataset from a liming test conducted on a sandy clay loam soil in a farm. The best-fitting models for pH data were the Mitscherlich, three-parameter logistic, and MorganMercer-Flodin models. The best-fitting models for exchangeable Ca+2 + Mg+2 data were Skaggs et al., Gompertz, and Morgan- Mercer-Flodin. The use of the proposed T index, which ranks models based on their residual standard error and Akaike information criterion values, combined with constraints on extrapolation values, was useful for selecting models that are statistically robust and empirically coherent
650 $aLiming
650 $aCalagem
650 $aSolo
653 $aCorreção de pH
653 $aFunções não lineares
653 $aNonlinear functions
653 $aPH correction
700 1 $aALBUQUERQUE FILHO, M. R. de
700 1 $aSANTOS, F. C. dos
700 1 $aLADEIRA, D. de A.
773 $tRevista Brasileira de Engenharia Agrícola e Ambiental$gv. 27, n. 10, p. 820-827, 2023.
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