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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 |
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
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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.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Registro Completo
Biblioteca(s): |
Embrapa Pesca e Aquicultura. |
Data corrente: |
04/10/2019 |
Data da última atualização: |
14/02/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
OLIVEIRA, S. M. de; ALMEIDA, R. E. M. de; PIEROZAN JUNIOR, C.; REIS, A. F. de B.; SOUZA, L. F. N.; FAVARIN, J. L. |
Afiliação: |
SILAS MACIEL DE OLIVEIRA, UNIVERSIDADE ESTADUAL DE MARINGÁ; RODRIGO ESTEVAM MUNHOZ DE ALMEIDA, CNPASA; CLOVIS PIEROZAN JUNIOR, INSTITUTO FEDERAL DO PARANÁ; ANDRE FROES DE BORJA REIS, ESALQ; LUCAS FREITAS NOGUEIRA SOUZA, ESALQ; JOSE LAERCIO FAVARIN, ESALQ. |
Título: |
Contribution of corn intercropped with Brachiaria species to nutrient cycling. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Pesquisa Agropecuária Tropical, v. 49, e55018, 2019. |
ISSN: |
1983-4063 |
Idioma: |
Inglês |
Conteúdo: |
The corn biomass and nutrient dynamics may be altered when it is intercropped with Brachiaria (syn. Urochloa spp.). The present study aimed to investigate the dynamics of biomass, nitrogen (N), phosphorus (P) and potassium (K) for farming systems that produce corn intercropped with Brachiaria species. Field experiments were performed during the season and off-season, in a split-plot design. The main plots were composed of Brachiaria species (B. brizantha, B. ruziziensis and B. Convert) intercropped with corn, in addition to corn monocropping. The subplots consisted of three forage sampling periods, ranging from 0 to 60 days after the corn harvest. The intercropping arrangements did not affect the corn grain yield, nutrient accumulation and partitioning, relatively to the corn monocropping. After the grain harvest, B. brizantha achieved the greater biomass accumulation rate in both the season (69 kg ha-1 day-1) and off-season (17 kg ha-1 day-1). The nutrient accumulation ranged widely between the Brachiaria species and planting seasons: 0.2-1.2 kg ha-1 day-1 for N; 0.01-0.07 kg ha-1 day-1 for P; and 0.13-0.8 kg ha-1 day-1 for K. However, the greatest nutrient accumulation was found for B. brizantha, followed by B. ruziziensis and then B. Convert. In the short-term, corn intercropped with Brachiaria in the season showed the largest effect on the nutrient cycling and biomass yield. The intercropping between corn and B. brizantha in the season was the best way to enhance the biomass yield and the N, P and K cycling. MenosThe corn biomass and nutrient dynamics may be altered when it is intercropped with Brachiaria (syn. Urochloa spp.). The present study aimed to investigate the dynamics of biomass, nitrogen (N), phosphorus (P) and potassium (K) for farming systems that produce corn intercropped with Brachiaria species. Field experiments were performed during the season and off-season, in a split-plot design. The main plots were composed of Brachiaria species (B. brizantha, B. ruziziensis and B. Convert) intercropped with corn, in addition to corn monocropping. The subplots consisted of three forage sampling periods, ranging from 0 to 60 days after the corn harvest. The intercropping arrangements did not affect the corn grain yield, nutrient accumulation and partitioning, relatively to the corn monocropping. After the grain harvest, B. brizantha achieved the greater biomass accumulation rate in both the season (69 kg ha-1 day-1) and off-season (17 kg ha-1 day-1). The nutrient accumulation ranged widely between the Brachiaria species and planting seasons: 0.2-1.2 kg ha-1 day-1 for N; 0.01-0.07 kg ha-1 day-1 for P; and 0.13-0.8 kg ha-1 day-1 for K. However, the greatest nutrient accumulation was found for B. brizantha, followed by B. ruziziensis and then B. Convert. In the short-term, corn intercropped with Brachiaria in the season showed the largest effect on the nutrient cycling and biomass yield. The intercropping between corn and B. brizantha in the season was the best way to enhance the bio... Mostrar Tudo |
Thesagro: |
Brachiaria; Capim Urochloa; Milho; Nutriente; Planta Forrageira; Zea Mays. |
Thesaurus NAL: |
Corn; Forage; Nutrient balance. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/202590/1/CNPASA-2019-pat.pdf
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Marc: |
LEADER 02358naa a2200301 a 4500 001 2112802 005 2020-02-14 008 2019 bl uuuu u00u1 u #d 022 $a1983-4063 100 1 $aOLIVEIRA, S. M. de 245 $aContribution of corn intercropped with Brachiaria species to nutrient cycling.$h[electronic resource] 260 $c2019 520 $aThe corn biomass and nutrient dynamics may be altered when it is intercropped with Brachiaria (syn. Urochloa spp.). The present study aimed to investigate the dynamics of biomass, nitrogen (N), phosphorus (P) and potassium (K) for farming systems that produce corn intercropped with Brachiaria species. Field experiments were performed during the season and off-season, in a split-plot design. The main plots were composed of Brachiaria species (B. brizantha, B. ruziziensis and B. Convert) intercropped with corn, in addition to corn monocropping. The subplots consisted of three forage sampling periods, ranging from 0 to 60 days after the corn harvest. The intercropping arrangements did not affect the corn grain yield, nutrient accumulation and partitioning, relatively to the corn monocropping. After the grain harvest, B. brizantha achieved the greater biomass accumulation rate in both the season (69 kg ha-1 day-1) and off-season (17 kg ha-1 day-1). The nutrient accumulation ranged widely between the Brachiaria species and planting seasons: 0.2-1.2 kg ha-1 day-1 for N; 0.01-0.07 kg ha-1 day-1 for P; and 0.13-0.8 kg ha-1 day-1 for K. However, the greatest nutrient accumulation was found for B. brizantha, followed by B. ruziziensis and then B. Convert. In the short-term, corn intercropped with Brachiaria in the season showed the largest effect on the nutrient cycling and biomass yield. The intercropping between corn and B. brizantha in the season was the best way to enhance the biomass yield and the N, P and K cycling. 650 $aCorn 650 $aForage 650 $aNutrient balance 650 $aBrachiaria 650 $aCapim Urochloa 650 $aMilho 650 $aNutriente 650 $aPlanta Forrageira 650 $aZea Mays 700 1 $aALMEIDA, R. E. M. de 700 1 $aPIEROZAN JUNIOR, C. 700 1 $aREIS, A. F. de B. 700 1 $aSOUZA, L. F. N. 700 1 $aFAVARIN, J. L. 773 $tPesquisa Agropecuária Tropical$gv. 49, e55018, 2019.
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