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Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
03/09/2019 |
Data da última atualização: |
03/09/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
SCHMILDT, O.; SANTANA, E. N. de.; OLIVEIRA, V. de S.; GOUVEA, R. R.; SOUZA, L. C.; SANTOS, A. N. M. R.; SILVA, S. M.; SANTOS, K. T. H. dos; SANTOS, G. P.; FANTON, C. J.; DOUSSEAU, S.; SCHMILDT, E. R. |
Afiliação: |
Omar Schmildt, UFES; Enilton Nascimento de Santana, Incaper; Vinicius de Souza Oliveira, UFES; Rafael Ruy Gouvea, UFES; Lucas Corrêa Souza, Incaper; Alba Nise Merícia Rocha Santos, Incaper; Sirlane Machado Silva, Incaper; Karina Tiemi Hassuda dos Santos, UFES; Gleyce Pereira Santos, UFES; Cesar José Fanton, Incaper; Sara Dousseau Arantes, Incaper; Edilson Romais Schmildt, UFES. |
Título: |
Estimation of leaf area by linear dimensions in coffea dewevrei. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
International Journal of Plant & Soil Science, v. 28, n. 6, p. 1-8, 2019. |
DOI: |
10.9734/ijpss/2019/v28i630129 |
Idioma: |
Inglês |
Conteúdo: |
The objective of this research was to select the equation that best estimates the leaf area of the coffee tree Coffea dewevrei, from the linear dimensions of the leaves. For this purpose, 140 leaves of adult plants were collected from the Capixaba Institute for Research, Technical Assistance and Rural Extension, in the city of Linhares, North of the State of Espírito Santo, Brazil. The length (L), the width (W), the product of the multiplication between the length and width (LW) and the leaf area observed (OLA) were determined from all leaves. For the modeling, a 100 leaves sample was used, where OLA was used as a dependent variable in function of L, W and LW as independent variable, being obtained the following models: linear first degree, quadratic and power. For the validation, a sample of 40 leaves was used, where the values of L, W LW were substituted in the equations generated in the modeling, thus obtaining the estimated leaf area (ELA). A simple linear equation model was fitted for each modeling equation relating ELA in function of OLA. The hypotheses H0: β0 = 0 versus Ha: β0 ≠ 0 and H0: β1 = 1 versus Ha: β1 ≠ 1, were tested using Student's t test at 5% probability. The mean absolute error (MAE), root mean square error (RMSE) and Willmott's index d for all equations were also determined. The best model that estimates the area of Coffea dewevrei was chosen through the following criteria: β0 not different from zero, β1 not different from one, MAE and RMSE values closer to zero and index d closer to the unit. The area of the leaves can be determined by its greater width (W), through the quadratic model equation ELA=-10.255+1.020(W)+1.293(W)2. MenosThe objective of this research was to select the equation that best estimates the leaf area of the coffee tree Coffea dewevrei, from the linear dimensions of the leaves. For this purpose, 140 leaves of adult plants were collected from the Capixaba Institute for Research, Technical Assistance and Rural Extension, in the city of Linhares, North of the State of Espírito Santo, Brazil. The length (L), the width (W), the product of the multiplication between the length and width (LW) and the leaf area observed (OLA) were determined from all leaves. For the modeling, a 100 leaves sample was used, where OLA was used as a dependent variable in function of L, W and LW as independent variable, being obtained the following models: linear first degree, quadratic and power. For the validation, a sample of 40 leaves was used, where the values of L, W LW were substituted in the equations generated in the modeling, thus obtaining the estimated leaf area (ELA). A simple linear equation model was fitted for each modeling equation relating ELA in function of OLA. The hypotheses H0: β0 = 0 versus Ha: β0 ≠ 0 and H0: β1 = 1 versus Ha: β1 ≠ 1, were tested using Student's t test at 5% probability. The mean absolute error (MAE), root mean square error (RMSE) and Willmott's index d for all equations were also determined. The best model that estimates the area of Coffea dewevrei was chosen through the following criteria: β0 not different from zero, β1 not diff... Mostrar Tudo |
Thesaurus NAL: |
Coffea dewevrei; Mathematical models; Non-destructive method. |
Categoria do assunto: |
-- |
URL: |
https://biblioteca.incaper.es.gov.br/digital/bitstream/123456789/3788/1/cafe-enilton-santana.pdf
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Marc: |
LEADER 02611naa a2200301 a 4500 001 1021649 005 2019-09-03 008 2019 bl uuuu u00u1 u #d 024 7 $a10.9734/ijpss/2019/v28i630129$2DOI 100 1 $aSCHMILDT, O. 245 $aEstimation of leaf area by linear dimensions in coffea dewevrei.$h[electronic resource] 260 $c2019 520 $aThe objective of this research was to select the equation that best estimates the leaf area of the coffee tree Coffea dewevrei, from the linear dimensions of the leaves. For this purpose, 140 leaves of adult plants were collected from the Capixaba Institute for Research, Technical Assistance and Rural Extension, in the city of Linhares, North of the State of Espírito Santo, Brazil. The length (L), the width (W), the product of the multiplication between the length and width (LW) and the leaf area observed (OLA) were determined from all leaves. For the modeling, a 100 leaves sample was used, where OLA was used as a dependent variable in function of L, W and LW as independent variable, being obtained the following models: linear first degree, quadratic and power. For the validation, a sample of 40 leaves was used, where the values of L, W LW were substituted in the equations generated in the modeling, thus obtaining the estimated leaf area (ELA). A simple linear equation model was fitted for each modeling equation relating ELA in function of OLA. The hypotheses H0: β0 = 0 versus Ha: β0 ≠ 0 and H0: β1 = 1 versus Ha: β1 ≠ 1, were tested using Student's t test at 5% probability. The mean absolute error (MAE), root mean square error (RMSE) and Willmott's index d for all equations were also determined. The best model that estimates the area of Coffea dewevrei was chosen through the following criteria: β0 not different from zero, β1 not different from one, MAE and RMSE values closer to zero and index d closer to the unit. The area of the leaves can be determined by its greater width (W), through the quadratic model equation ELA=-10.255+1.020(W)+1.293(W)2. 650 $aCoffea dewevrei 650 $aMathematical models 650 $aNon-destructive method 700 1 $aSANTANA, E. N. de. 700 1 $aOLIVEIRA, V. de S. 700 1 $aGOUVEA, R. R. 700 1 $aSOUZA, L. C. 700 1 $aSANTOS, A. N. M. R. 700 1 $aSILVA, S. M. 700 1 $aSANTOS, K. T. H. dos 700 1 $aSANTOS, G. P. 700 1 $aFANTON, C. J. 700 1 $aDOUSSEAU, S. 700 1 $aSCHMILDT, E. R. 773 $tInternational Journal of Plant & Soil Science$gv. 28, n. 6, p. 1-8, 2019.
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Biblioteca Rui Tendinha (BRT) |
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Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
08/02/2024 |
Data da última atualização: |
08/02/2024 |
Tipo da produção científica: |
Publicação em Anais de Congresso |
Autoria: |
GALOTE, J. K. B.; SOUZA, E. F. de; CAMPOSTRINI, E.; DOUSSEAU, S.; ARANTES, L. de O.; MACHADO FILHO, J. A. |
Afiliação: |
Jean Karlos Barros Galote; Elias Fernandes de Sousa; Eliemar Campostrini; Sara Dousseau Arantes, Incaper; Lucio de Oliveira Arantes, Incaper; José Altino Machado Filho, Incaper. |
Título: |
Desenvolvimento de sensor de fluxo de seiva de baixo custo. |
Ano de publicação: |
2024 |
Fonte/Imprenta: |
In: SIMPÓSIO INCAPER PESQUISA, 3. , Vitória, ES. Desenvolvimento de sensor de fluxo de seiva de baixo custo. Editores, Andréa Ferreira da Costa, Marlon Dutra Degli Esposti e Renato Corrêa Taques. Vitória, ES : Incaper, p. 43, 2024. |
Páginas: |
p. 43 |
Idioma: |
Português |
Conteúdo: |
O desenvolvimento de sensores de fluxo de seiva baseados em método térmico, com um foco em custo reduzido e acessibilidade, é uma contribuição significativa para a pesquisa agrÃcola e a compreensão do comportamento hidráulico de água nas plantas... |
Thesagro: |
Automação; Coffea Canephora. |
Categoria do assunto: |
-- |
URL: |
https://biblioteca.incaper.es.gov.br/digital/bitstream/item/4577/1/Anais-SIP-2023-Final-Pag43.pdf
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Marc: |
LEADER 01056nam a2200205 a 4500 001 1025395 005 2024-02-08 008 2024 bl uuuu u01u1 u #d 100 1 $aGALOTE, J. K. B. 245 $aDesenvolvimento de sensor de fluxo de seiva de baixo custo.$h[electronic resource] 260 $aIn: SIMPÓSIO INCAPER PESQUISA, 3. , Vitória, ES. Desenvolvimento de sensor de fluxo de seiva de baixo custo. Editores, Andréa Ferreira da Costa, Marlon Dutra Degli Esposti e Renato Corrêa Taques. Vitória, ES : Incaper, p. 43$c2024 300 $ap. 43 520 $aO desenvolvimento de sensores de fluxo de seiva baseados em método térmico, com um foco em custo reduzido e acessibilidade, é uma contribuição significativa para a pesquisa agrÃcola e a compreensão do comportamento hidráulico de água nas plantas... 650 $aAutomação 650 $aCoffea Canephora 700 1 $aSOUZA, E. F. de 700 1 $aCAMPOSTRINI, E. 700 1 $aDOUSSEAU, S. 700 1 $aARANTES, L. de O. 700 1 $aMACHADO FILHO, J. A.
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