| |
|
|
| Registros recuperados : 1.521 | |
| 124. |  | OLIVEIRA, A. C.; CORREA, L. C.; NETTO, D. A. M. Análise de grupos de experimentos de milho, quanto a ordem de classificação de cultivares, em diferentes locais da região Centro-Oeste do Brasil. In: CONGRESSO NACIONAL DE MILHO E SORGO, 25.; SIMPOSIO BRASILEIRO SOBRE A LAGARTA-DO-CARTUCHO, SPODOPTERA FRUGIPERDA, 1., 2004, Cuiabá, MT. Da agricultura familiar ao agronegócio: tecnologia, competitividade e sustentabilidade: [resumos expandidos]. Sete Lagoas: ABMS: Embrapa Milho e Sorgo; Cuiabá: Empaer, 2004. 1 CD-ROM.| Biblioteca(s): Embrapa Milho e Sorgo. |
|    |
| Registros recuperados : 1.521 | |
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Milho e Sorgo. |
|
Data corrente: |
19/07/2023 |
|
Data da última atualização: |
19/07/2023 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
B - 4 |
|
Autoria: |
MANTOVANI, E. C.; SANTOS, E. do C.; OLIVEIRA, A. C. de. |
|
Afiliação: |
EVANDRO CHARTUNI MANTOVANI, Pesquisador aposentado-CNPMS; DEIVITY DO CARMO SANTOS, UNIFEMM; ANTONIO CARLOS DE OLIVEIRA, CNPMS. |
|
Título: |
Automatic data acquisition system-adas for energy optimization in tractors and implement. |
|
Ano de publicação: |
2023 |
|
Fonte/Imprenta: |
Revista Brasileira de Milho e Sorgo, v. 22, e1304, 2023. |
|
DOI: |
https://doi.org/10.18512/rbms2023v22e1304 |
|
Idioma: |
Inglês |
|
Conteúdo: |
The technical dimensioning of the tractor set and implements for each crop and respective areas to be explored establishes the width of the implement, tractor power, and management characteristics to be used. Fuel consumption (l/h), operational work performance (ha/h), and quality of work are the most critical operational performance indicators in the set. The Automatic Data Acquisition System ? ADAS (SIAD in Portuguese), developed in 2018, was improved in 2020, to an easy-to-handle system aimed at managing field operations of the tractor+implement set, with a programmable acquisition module, with real-time records, georeferenced and stored in memory at one-second intervals. The ADAS was tested on a bench, and validated with the tractor+implement set plowing in alluvial soil, in 12 data collection cycles, for an operational evaluation. Comparing the traction efficiency of 43.07% obtained by the tractor+plow set for a slippage of 17.3%, it can be seen that it falls short of the values presented by Janulevičius et al. (2019). In addition, Table 4 indicates that the tractor is working with a very high range of slipping values, ranging from 17.3 to 41.9%, reinforcing the need for adjustments, especially with ballasts, to avoid power loss through the wheels and to keep the tractor moving. The essential information, fuel consumption, and slippage can be read in real-time by the operator, on the box display on the tractor panel, and later, by the technical area, as they are recorded in the microcomputer memory to analyze the operations. MenosThe technical dimensioning of the tractor set and implements for each crop and respective areas to be explored establishes the width of the implement, tractor power, and management characteristics to be used. Fuel consumption (l/h), operational work performance (ha/h), and quality of work are the most critical operational performance indicators in the set. The Automatic Data Acquisition System ? ADAS (SIAD in Portuguese), developed in 2018, was improved in 2020, to an easy-to-handle system aimed at managing field operations of the tractor+implement set, with a programmable acquisition module, with real-time records, georeferenced and stored in memory at one-second intervals. The ADAS was tested on a bench, and validated with the tractor+implement set plowing in alluvial soil, in 12 data collection cycles, for an operational evaluation. Comparing the traction efficiency of 43.07% obtained by the tractor+plow set for a slippage of 17.3%, it can be seen that it falls short of the values presented by Janulevičius et al. (2019). In addition, Table 4 indicates that the tractor is working with a very high range of slipping values, ranging from 17.3 to 41.9%, reinforcing the need for adjustments, especially with ballasts, to avoid power loss through the wheels and to keep the tractor moving. The essential information, fuel consumption, and slippage can be read in real-time by the operator, on the box display on the tractor panel, and later, by the technical area, as they are re... Mostrar Tudo |
|
Palavras-Chave: |
Aquisição automática de dados; Avaliação operacional; Instrumentação eletrônica. |
|
Thesagro: |
Mecanização Agrícola. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1155036/1/Automatic-data-acquisition-system-adas-for-energy-optimization.pdf
|
|
Marc: |
LEADER 02260naa a2200205 a 4500
001 2155036
005 2023-07-19
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.18512/rbms2023v22e1304$2DOI
100 1 $aMANTOVANI, E. C.
245 $aAutomatic data acquisition system-adas for energy optimization in tractors and implement.$h[electronic resource]
260 $c2023
520 $aThe technical dimensioning of the tractor set and implements for each crop and respective areas to be explored establishes the width of the implement, tractor power, and management characteristics to be used. Fuel consumption (l/h), operational work performance (ha/h), and quality of work are the most critical operational performance indicators in the set. The Automatic Data Acquisition System ? ADAS (SIAD in Portuguese), developed in 2018, was improved in 2020, to an easy-to-handle system aimed at managing field operations of the tractor+implement set, with a programmable acquisition module, with real-time records, georeferenced and stored in memory at one-second intervals. The ADAS was tested on a bench, and validated with the tractor+implement set plowing in alluvial soil, in 12 data collection cycles, for an operational evaluation. Comparing the traction efficiency of 43.07% obtained by the tractor+plow set for a slippage of 17.3%, it can be seen that it falls short of the values presented by Janulevičius et al. (2019). In addition, Table 4 indicates that the tractor is working with a very high range of slipping values, ranging from 17.3 to 41.9%, reinforcing the need for adjustments, especially with ballasts, to avoid power loss through the wheels and to keep the tractor moving. The essential information, fuel consumption, and slippage can be read in real-time by the operator, on the box display on the tractor panel, and later, by the technical area, as they are recorded in the microcomputer memory to analyze the operations.
650 $aMecanização Agrícola
653 $aAquisição automática de dados
653 $aAvaliação operacional
653 $aInstrumentação eletrônica
700 1 $aSANTOS, E. do C.
700 1 $aOLIVEIRA, A. C. de
773 $tRevista Brasileira de Milho e Sorgo$gv. 22, e1304, 2023.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
