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Registros recuperados : 29 | |
5. | | BOOTE, K. J.; JONES, J. W.; HOOGENBOOM, G. Simulating growth and yield response of soybean to temperature and photoperiod. In: CONFERENCIA MUNDIAL DE INVESTIGACION EN SOJA, 4., 1989, Actas... Buenos Aires, A A soja, 1989, v. , p. 272-278, 1989. Biblioteca(s): Embrapa Trigo. |
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7. | | SENTELHAS, P. C.; FARIA, R. T. de; CHAVES, M. O.; HOOGENBOOM, G. Avaliação dos geradores de dados meteorológicos WGEN e SIMMETEO, nas condições tropicais e subtropicais brasileiras, usando modelos de simulação de culturas. Revista Brasileira de Agrometeorologia, Santa Maria, v. 9, n. 2, p. 357-376, 2001. Biblioteca(s): Embrapa Agricultura Digital. |
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10. | | FERNANDES, J. M. C.; PAVAN, W.; PEQUENO, D.; WIEST, R.; HOLBIG, C. A.; OLIVEIRA, F.; HOOGENBOOM, G. Improving crop pest/disease modeling. In: BOOTE, K. (Ed.). Advances in crop modelling for a sustainable agriculture. Cambridge, UK: Burleigh Dodds Science Publishing, 2019. Biblioteca(s): Embrapa Trigo. |
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11. | | RESENES, J. de A.; PAVAN, W.; HÖLBIG, C. A.; FERNANDES, J. M. C.; SHELIA, V.; PORTER, C.; HOOGENBOOM, G. jDSSAT: A JavaScript Module for DSSAT-CSM integration. SoftwareX, n. 10, (e-100271), 2019. Biblioteca(s): Embrapa Trigo. |
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12. | | AMARAL, T. A.; ANDRADE, C. L. T.; HOOGENBOOM, G.; SILVA, D. F.; GARCIA Y GARCIA, A.; NOCE, M. A. Nitrogen management strategies for maize production systems: experimental data and crop modeling. International Journal of Plant Production, v. 9, n. 1, p. 51-74, 2015. Biblioteca(s): Embrapa Milho e Sorgo. |
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15. | | HEINEMANN, A. B.; DOURADO NETO, D.; HOOGENBOOM, G.; MAIA, A. de H. N.; OHSE, S.; MANFRON, P. A. Resposta da soja (Glycine max) ao aumento da concentração de CO2 e temperatura. Insula, Florianópolis, n. 32, p.119-136 , 2003. Biblioteca(s): Embrapa Florestas; Embrapa Meio Ambiente. |
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16. | | DIAS, H. B.; CUADRA, S. V.; BOOTE, K. J.; LAMPARELLI, R. A. C.; FIGUEIREDO, G. K. D. A.; SUYKER, A. E.; MAGALHÃES, P. S. G.; HOOGENBOOM, G. Coupling the CSM-CROPGRO-Soybean crop model with the ECOSMOS Ecosystem Model: an evaluation with data from an AmeriFlux site. Agricultural and Forest Meteorology, v. 342, 109697, 2023. Biblioteca(s): Embrapa Agricultura Digital. |
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17. | | BRUNETTI, H. B.; BOOTE, K. J.; SANTOS, P. M.; PEZZOPANE, J. R. M.; PEDREIRA, C. G. S.; LARA, M. A. S.; MORENO, L. S. de B.; HOOGENBOOM, G. Improving the CROPGRO Perennial Forage Model for simulating growth and biomass partitioning of guineagrass. Agronomy Journal, v. 113, n. 4, p. 3299-3314, July/Aug. 2021. Biblioteca(s): Embrapa Pecuária Sudeste; Embrapa Pesca e Aquicultura. |
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18. | | SANTOS, M. L. dos; SANTOS, P. M.; BOOTE, K. J.; PEQUENO, D. N. L.; BARIONI, L. G.; CUADRA, S. V.; HOOGENBOOM, G. Applying the CROPGRO Perennial Forage Model for long-term estimates of Marandu palisadegrass production in livestock management scenarios in Brazil. Field Crops Research, v. 286, 108629, Oct. 2022. 16 p. Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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19. | | AMARAL, T. A.; ANDRADE, C. L. T.; DUARTE, J. O.; GARCIA, J. C.; GARCIA Y GARCIA, A.; SILVA, D. F.; ALBERNAZ, W. M.; HOOGENBOOM, G. Nitrogen management strategies for smallholder maize production systems: yield and profitability variability. International Journal of Plant Production, v. 9, n. 1, p. 75-98, 2015. Biblioteca(s): Embrapa Milho e Sorgo. |
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Registros recuperados : 29 | |
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Registro Completo
Biblioteca(s): |
Embrapa Trigo. |
Data corrente: |
29/01/2020 |
Data da última atualização: |
29/01/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 3 |
Autoria: |
RESENES, J. de A.; PAVAN, W.; HÖLBIG, C. A.; FERNANDES, J. M. C.; SHELIA, V.; PORTER, C.; HOOGENBOOM, G. |
Afiliação: |
Jonas de Abreu Resenes, Graduate Program in Applied Computing, University of Passo Fundo, Brazil; Willingthon Pavan, Graduate Program in Applied Computing, University of Passo Fundo, Brazil; Carlos Amaral Hölbig, Graduate Program in Applied Computing, University of Passo Fundo, Brazil; JOSE MAURICIO CUNHA FERNANDES, CNPT; Vakhtang Shelia, Agricultural and Biological Engineering, University of Florida, Gainesville, FL, USA; Cheryl Porter, Agricultural and Biological Engineering, University of Florida, Gainesville, FL, USA; Gerrit Hoogenboom, Agricultural and Biological Engineering, University of Florida, Gainesville, FL, USA. |
Título: |
jDSSAT: A JavaScript Module for DSSAT-CSM integration. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
SoftwareX, n. 10, (e-100271), 2019. |
DOI: |
https://doi.org/10.1016/j.softx.2019.100271 |
Idioma: |
Inglês |
Conteúdo: |
The DSSAT is a collection of computer programs and tools integrated into a single software package inorder to facilitate the application of crop simulation models in research and decision making. The DSSAT Shell, an user interface program, enables users to easily select and use any of the DSSAT components. It reads text files, both input and output with fixed width format, to provide informationto the users and to be able to run the models. The logic to read DSSAT files and process theinformationtodisplaytotheuserreliesontheShellitselfandcannotbereusablebyanyothersystem,which makes it harder to implement alternatives for the DSSAT Shell since there are no frame works available that implements the complexity of processing DSSAT files. The DSSAT tools were built using old programming technologies such Visual Basic which is in end-of-life support and Delphi, these technologies should be replaced for a modern and standardized software development approach for abetter maintainability. Besides, these tools are standalone and they do not share code which increases the effort to maintain them. This work presents the jDSSAT, a multiplatform JavaScript module. Thej DSSAT provides a standard and reusable approach for reading and processing DSSAT files. Throughthis approach, we isolate the complexity of processing DSSAT files to allow DSSAT integration on anyenvironment. It also integrates with DSSAT-CSM to make it easier to run DSSAT models in Linux,Windows and MacOS. As a result, we present a multiplatform user interface prototype created to run DSSAT crop models using the main feature sof the jDSSAT. Also,the integration with the Renvironment that expands the possibilities of the DSSAT integration. MenosThe DSSAT is a collection of computer programs and tools integrated into a single software package inorder to facilitate the application of crop simulation models in research and decision making. The DSSAT Shell, an user interface program, enables users to easily select and use any of the DSSAT components. It reads text files, both input and output with fixed width format, to provide informationto the users and to be able to run the models. The logic to read DSSAT files and process theinformationtodisplaytotheuserreliesontheShellitselfandcannotbereusablebyanyothersystem,which makes it harder to implement alternatives for the DSSAT Shell since there are no frame works available that implements the complexity of processing DSSAT files. The DSSAT tools were built using old programming technologies such Visual Basic which is in end-of-life support and Delphi, these technologies should be replaced for a modern and standardized software development approach for abetter maintainability. Besides, these tools are standalone and they do not share code which increases the effort to maintain them. This work presents the jDSSAT, a multiplatform JavaScript module. Thej DSSAT provides a standard and reusable approach for reading and processing DSSAT files. Throughthis approach, we isolate the complexity of processing DSSAT files to allow DSSAT integration on anyenvironment. It also integrates with DSSAT-CSM to make it easier to run DSSAT models in Linux,Windows and MacOS. As a result, we p... Mostrar Tudo |
Palavras-Chave: |
Crop simulation; DSSAT; JavaScript. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/209812/1/1-s2.0-S235271101930158X-main.pdf
|
Marc: |
LEADER 02382naa a2200241 a 4500 001 2119504 005 2020-01-29 008 2019 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.softx.2019.100271$2DOI 100 1 $aRESENES, J. de A. 245 $ajDSSAT$bA JavaScript Module for DSSAT-CSM integration.$h[electronic resource] 260 $c2019 520 $aThe DSSAT is a collection of computer programs and tools integrated into a single software package inorder to facilitate the application of crop simulation models in research and decision making. The DSSAT Shell, an user interface program, enables users to easily select and use any of the DSSAT components. It reads text files, both input and output with fixed width format, to provide informationto the users and to be able to run the models. The logic to read DSSAT files and process theinformationtodisplaytotheuserreliesontheShellitselfandcannotbereusablebyanyothersystem,which makes it harder to implement alternatives for the DSSAT Shell since there are no frame works available that implements the complexity of processing DSSAT files. The DSSAT tools were built using old programming technologies such Visual Basic which is in end-of-life support and Delphi, these technologies should be replaced for a modern and standardized software development approach for abetter maintainability. Besides, these tools are standalone and they do not share code which increases the effort to maintain them. This work presents the jDSSAT, a multiplatform JavaScript module. Thej DSSAT provides a standard and reusable approach for reading and processing DSSAT files. Throughthis approach, we isolate the complexity of processing DSSAT files to allow DSSAT integration on anyenvironment. It also integrates with DSSAT-CSM to make it easier to run DSSAT models in Linux,Windows and MacOS. As a result, we present a multiplatform user interface prototype created to run DSSAT crop models using the main feature sof the jDSSAT. Also,the integration with the Renvironment that expands the possibilities of the DSSAT integration. 653 $aCrop simulation 653 $aDSSAT 653 $aJavaScript 700 1 $aPAVAN, W. 700 1 $aHÖLBIG, C. A. 700 1 $aFERNANDES, J. M. C. 700 1 $aSHELIA, V. 700 1 $aPORTER, C. 700 1 $aHOOGENBOOM, G. 773 $tSoftwareX$gn. 10, (e-100271), 2019.
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