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Registros recuperados : 103 | |
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43. | | VIEIRA, E. A.; BELLI, A. L.; CAMPOLIA, J. P.; RODRIGUES, J. P. P.; COELHO, S. G.; CAMPOS, M. M.; TOMICH, T. R.; PEREIRA, L. G. R. Screening microchip sites to predict body temperature in young calves. Journal of Thermal Biology, v. 100, 103052, 2021. Biblioteca(s): Embrapa Gado de Leite. |
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44. | | CHIZZOTTI, M. L.; MACHADO, F. S.; PEREIRA, L. G. R.; CAMPOS, M. M.; TOMICH, T. R.; COELHO, S. G.; RIBAS, M. N. Validação de sistema de monitoramento individual de consumo e comportamento alimentar para bovinos. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 52., 2015, Belo Horizonte. Zootecnia: otimizando recursos e potencialidades: anais. Belo Horizonte: Sociedade Brasileira de Zootecnia, 2015. 3 p. Biblioteca(s): Embrapa Gado de Leite. |
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46. | | SILVI, R.; PEREIRA, L. G. R.; PAIVA, C. A. V.; TOMICH, T. R.; TEIXEIRA, V. A.; SACRAMENTO, J. P.; FERREIRA, R. E. P.; COELHO, S. G.; MACHADO, F. S.; CAMPOS, M. M.; DÓREA, J. R. R. Adoption of precision technologies by brazilian dairy farms: the farmer's perception. Animals, v. 11, 3488, 2021. Biblioteca(s): Embrapa Gado de Leite. |
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47. | | CASTRO, V. R.; SILVA, S. A. T.; MARTINS, P. C.; LIMA, J. A. M.; CAMPOS, M. M.; TOMICH, T. R.; PEREIRA, L. G. R.; PAIVA, C. A. V.; COELHO, S. G.; MACHADO, F. S. Avaliação do desempenho de bezerras F1 Holandês x Gir com diferentes fenótipos de consumo alimentar residual. In: WORKSHOP DE INICIAÇÃO CIENTÍFICA DA EMBRAPA GADO DE LEITE, 17., 2016, Juiz de Fora. Anais... Juiz de Fora: Embrapa Gado de Leite, 2016. 1 p. 1 CD-ROM. (Embrapa Gado de Leite. Documentos, 186). Biblioteca(s): Embrapa Gado de Leite. |
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48. | | TEIXEIRA, D. A. B.; BORGES, I. B.; ROGERIO, M. C. P.; RODRIGUEZ, N. M.; SILVA, A. G. M. e; GONCALVES, L. C.; SALIBA, E. de O. S.; COELHO, S. G. Avaliação do consumo de energia e balanço nitrogenado em dietas para ovinos contendo feno de Brachiaria decumbens e caroço de algodão. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 38., 2001, Piracicaba, SP. Anais... Piracicaba: FEALQ, 2001. p. 1159-1160. Biblioteca(s): Embrapa Caprinos e Ovinos. |
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49. | | CAIRO, F. C.; PEREIRA, L. G. R.; CAMPOS, M. M.; TOMICH, T. R.; COELHO, S. G.; LAGE, C. F. A.; FONSECA, A. P.; BORGES, A. M.; ALVES, B. R. C.; DOREA, J. R. R. Applying machine learning techniques on feeding behavior data for early estrus detection in dairy heifers. Computers and Electronics in Agriculture, v. 179, 105855, 2020. Biblioteca(s): Embrapa Gado de Leite. |
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50. | | RUFINO, S. R. DE A.; AZEVEDO, R. A. DE; FURINI, P. M.; CAMPOS, M. M.; MACHADO, F. S.; PIRES, M. de F. A.; LIMA, J. A. M.; COELHO, S. G. Behavior of dairy heifers after increasing the amounts of milk replacer powder added to whole milk. Pesquisa Agropecuária Brasileira, v. 54, e00181, 2019. 8 p. Biblioteca(s): Embrapa Gado de Leite; Embrapa Unidades Centrais. |
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51. | | FERREIRA, M. I. C.; BORGES, I.; VIEIRA, F. A. P.; COELHO, S. G.; BATISTA, C. G.; SERRANO, A. L.; CARVALHO, A. U. de; LANA, A. M. Q.; LIMA JÚNIOR, G. M. de L.; ALBUQUERQUE, F. H. M. A. R. de. Avaliação de sucedâneos para cordeiros. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 42., 2005, Goiânia. A produção animal e o foco no agronegócio: anais. Goiânia: Sociedade Brasileira de Zootecnia, 2005. 4 f. CD ROM. Biblioteca(s): Embrapa Caprinos e Ovinos. |
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52. | | RIBEIRO, A. K. C.; LEAO, A. E.; AZEVEDO, R. A.; MACHADO, F. S.; FERREIRA, A. L.; PEREIRA, L. G. R.; TOMICH, T. R.; COELHO, S. G.; JUNIOR, W. L. R.; CAMPOS, M. M. Avaliação da forma física do concentrado e da inclusão de feno na alimentação de bezerros leiteiros durante o aleitamento. In: WORKSHOP DE INICIAÇÃO CIENTÍFICA DA EMBRAPA GADO DE LEITE, 21., 2018, Juiz de Fora. Anais... Juiz de Fora: Embrapa Gado de Leite, 2018. Biblioteca(s): Embrapa Gado de Leite. |
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53. | | ALVARENGA, E. A.; MOREIRA, G. H. F. A.; FACURY FILHO, E. J.; LEME, F. O P.; COELHO, S. G.; MOLINA, L. R.; LIMA, J. A. M.; CARVALHO, A. U. Avaliação do perfil metabólico de vacas de raça Holandesa durante o período de transição. Pesquisa Veterinária Brasileira, Brasília, DF, v. 35, n. 3, p. 281-290, mar. 2015. Biblioteca(s): Embrapa Unidades Centrais. |
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54. | | SOUZA, B. P. S.; COELHO, S. G.; GONCALVES, L. C.; VIEIRA, F. A. P.; BORGES, A. L. C. C.; RODRIGUEZ, N. M.; RODRIGUES, J. A. S.; BORGES, I.; SALIBA, E. S. Composição bromatológica da silagem de quatro genótipos de girassol, ensilados em cinco diferentes idades de corte. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, Belo Horizonte, v. 57, p. 204-211, 2005. Suplemento 2. Biblioteca(s): Embrapa Milho e Sorgo. |
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55. | | BELLI, A. L.; COELHO, S. G.; CAMPOLINA, J. P.; NEVES, L. F. M.; DINIZ NETO, H. C.; SILVA, C. S.; MACHADO, F. S.; PEREIRA, L. G. R.; TOMICH, T. R.; CARVALHO, W. A.; COSTA, S. de F.; CAMPOS, M. M. Effects of supplementing milk replacer with sodium butyrate on dairy calves. Animals, v. 14, 277, 2024. Biblioteca(s): Embrapa Gado de Leite. |
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56. | | SILVA, D. C. da; PEREIRA, L. G. R.; LIMA, J. A. M.; MACHADO, F. S.; FERREIRA, A. L.; TOMICH, T. R.; COELHO, S. G.; MAURICIO, R. M.; CAMPOS, M. M. Grouping crossbred Holstein x Gyr heifers according to different feed efficiency indexes and its effects on energy and nitrogen partitioning, blood metabolic variables and gas exchanges. PLoS ONE, v. 15, n. 9, e0238419, 2020. Biblioteca(s): Embrapa Gado de Leite. |
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57. | | LEÃO, J. M.; MACHADO, F. S.; CAMPOS, M. M.; CARNEIRO, J. C.; MARTINS, P. C.; COSTA, I. C.; SILVA, P. S. D.; FARIA, B. K. A.; LIMA, J. A. M.; SOUZA, R. S. de; COELHO, S. G. Growth performance in Crossbred (Holstein x Gyr) calves differing in phenotypic residual feed intake on pre-weaned period. In: ADSA ASAS JOINT ANNUAL MEETING, 2015, Orlando. Proceedings... Orlando: ADSA: ASAS, 2015. Biblioteca(s): Embrapa Gado de Leite. |
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58. | | AZEVEDO, R. A.; RUFINO, S. R. de A.; FURINI, P. M.; MACHADO, F. S.; CAMPOS, M. M.; MARTINS, P. C.; LEÃO, A. E.; LANA, A. M. Q.; COELHO, S. G. Increase in total solids of whole milk and its effects on development of dairy calves. In: ADSA ASAS JOINT ANNUAL MEETING, 2015, Orlando. Proceedings... Orlando: ADSA: ASAS, 2015. Biblioteca(s): Embrapa Gado de Leite. |
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59. | | AZEVEDO, R. A. de; FURINI, P. M.; RUFINO, S. R. de A.; MACHADO, F. S.; CAMPOS, M. M.; LEÃO, A. E.; MARTINS, P. C.; LANA, A. M. Q.; COELHO, S. G. Increase in total solids of whole milk and its effects on development in postweanig calves In: ADSA ASAS JOINT ANNUAL MEETING, 2015, Orlando. Proceedings... Orlando: ADSA: ASAS, 2015. Biblioteca(s): Embrapa Gado de Leite. |
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60. | | RAMOS JUNIOR, W. L.; LEAO, J. M.; CAMPOS, M. M.; COELHO, S. G.; FERREIRA, A. L.; PEREIRA, L. G. R.; TOMICH, T. R.; RIBEIRO, A. K. do C.; MACHADO, F. S. Consumo alimentar residual de bezerras F1 Holandês-Gir no período pré-desmame e sua associação com a produção de calor. In: WORKSHOP DE INICIAÇÃO CIENTÍFICA DA EMBRAPA GADO DE LEITE, 21., 2018, Juiz de Fora. Anais... Juiz de Fora: Embrapa Gado de Leite, 2018. Biblioteca(s): Embrapa Gado de Leite. |
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Registros recuperados : 103 | |
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Registro Completo
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
10/12/2021 |
Data da última atualização: |
03/10/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
SILVI, R.; PEREIRA, L. G. R.; PAIVA, C. A. V.; TOMICH, T. R.; TEIXEIRA, V. A.; SACRAMENTO, J. P.; FERREIRA, R. E. P.; COELHO, S. G.; MACHADO, F. S.; CAMPOS, M. M.; DÓREA, J. R. R. |
Afiliação: |
REBECA SILVI, Universidade Estadual de Santa Cruz; LUIZ GUSTAVO RIBEIRO PEREIRA, CNPGL; CLAUDIO ANTONIO VERSIANI PAIVA, CNPGL; THIERRY RIBEIRO TOMICH, CNPGL; VANESSA A. TEIXEIRA, Universidade Federal de Minas Gerais; JOÃO PAULO SACRAMENTO, Universidade Federal de São João del-Rei; RAFAEL E. P. FERREIRA, University of Wisconsin; SANDRA G. COELHO, Universidade Federal de Minas Gerais; FERNANDA SAMARINI MACHADO, CNPGL; MARIANA MAGALHAES CAMPOS, CNPGL; JOÃO RICARDO. R. DÓREA, University of Wisconsin. |
Título: |
Adoption of precision technologies by brazilian dairy farms: the farmer's perception. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Animals, v. 11, 3488, 2021. |
DOI: |
https://doi.org/10.3390/ani11123488 |
Idioma: |
Inglês |
Conteúdo: |
The use of precision farming technologies, such as milking robots, automated calf feeders, wearable sensors, and others, has significantly increased in dairy operations over the last few years. The growing interest in farming technologies to reduce labor, maximize productivity, and increase profitability is becoming noticeable in several countries, including Brazil. Information regarding technology adoption, perception, and effectiveness in dairy farms could shed light on challenges that need to be addressed by scientific research and extension programs. The objective of this study was to characterize Brazilian dairy farms based on technology usage. Factors such as willingness to invest in precision technologies, adoption of sensor systems, farmer profile, farm characteristics, and production indexes were investigated in 378 dairy farms located in Brazil. A survey with 22 questions was developed and distributed via Google Forms from July 2018 to July 2020. The farms were then classified into seven clusters: (1) top yield farms; (2) medium?high yield, medium‐tech; (3) medium yield and top high‐tech; (4) medium yield and medium‐tech; (5) young medium?low yield and low‐tech; (6) elderly medium?low yield and low‐tech; and (7) low‐tech grazing. The most frequent technologies adopted by producers were milk meters systems (31.7%), milking parlor smart gate (14.5%), sensor systems to detect mastitis (8.4%), cow activity meter (7.1%), and body temperature (7.9%). Based on a scale containing numerical values (1?5), producers indicated ?available technical support? (mean; σ2) (4.55; 0.80) as the most important decision criterion involved in adopting technology, followed by ?return on investment?ROI? (4.48; 0.80), ?user‐ friendliness? (4.39; 0.88), ?upfront investment cost? (4.36; 0.81), and ?compatibility with farm management software? (4.2; 1.02). The most important factors precluding investment in precision dairy technologies were the need for investment in other sectors of the farm (36%), the uncertainty of ROI (24%), and lack of integration with otherfarm systems and software (11%). Farmers indicated that the most useful technologies were automatic milk meters systems (mean; σ2) (4.05; 1.66), sensor systems for mastitis detection (4.00; 1.57), automatic feeding systems (3.50; 2.05), cow activity meter (3.45; 1.95), and in‐line milk analyzers (3.45; 1.95). Overall, the concerns related to data integration, ROI, and user‐friendliness of technologies are similar to those of dairy farms located in other countries. Increasing available technical support for sensing technology can have a positive impact on technology adoption. MenosThe use of precision farming technologies, such as milking robots, automated calf feeders, wearable sensors, and others, has significantly increased in dairy operations over the last few years. The growing interest in farming technologies to reduce labor, maximize productivity, and increase profitability is becoming noticeable in several countries, including Brazil. Information regarding technology adoption, perception, and effectiveness in dairy farms could shed light on challenges that need to be addressed by scientific research and extension programs. The objective of this study was to characterize Brazilian dairy farms based on technology usage. Factors such as willingness to invest in precision technologies, adoption of sensor systems, farmer profile, farm characteristics, and production indexes were investigated in 378 dairy farms located in Brazil. A survey with 22 questions was developed and distributed via Google Forms from July 2018 to July 2020. The farms were then classified into seven clusters: (1) top yield farms; (2) medium?high yield, medium‐tech; (3) medium yield and top high‐tech; (4) medium yield and medium‐tech; (5) young medium?low yield and low‐tech; (6) elderly medium?low yield and low‐tech; and (7) low‐tech grazing. The most frequent technologies adopted by producers were milk meters systems (31.7%), milking parlor smart gate (14.5%), sensor systems to detect mastitis (8.4%), cow activity meter (7.1%), and body temp... Mostrar Tudo |
Palavras-Chave: |
Fazenda inteligente. |
Thesagro: |
Bovino; Gado; Pecuária. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/228920/1/Adoption-precision.pdf
|
Marc: |
LEADER 03564naa a2200301 a 4500 001 2137526 005 2023-10-03 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.3390/ani11123488$2DOI 100 1 $aSILVI, R. 245 $aAdoption of precision technologies by brazilian dairy farms$bthe farmer's perception.$h[electronic resource] 260 $c2021 520 $aThe use of precision farming technologies, such as milking robots, automated calf feeders, wearable sensors, and others, has significantly increased in dairy operations over the last few years. The growing interest in farming technologies to reduce labor, maximize productivity, and increase profitability is becoming noticeable in several countries, including Brazil. Information regarding technology adoption, perception, and effectiveness in dairy farms could shed light on challenges that need to be addressed by scientific research and extension programs. The objective of this study was to characterize Brazilian dairy farms based on technology usage. Factors such as willingness to invest in precision technologies, adoption of sensor systems, farmer profile, farm characteristics, and production indexes were investigated in 378 dairy farms located in Brazil. A survey with 22 questions was developed and distributed via Google Forms from July 2018 to July 2020. The farms were then classified into seven clusters: (1) top yield farms; (2) medium?high yield, medium‐tech; (3) medium yield and top high‐tech; (4) medium yield and medium‐tech; (5) young medium?low yield and low‐tech; (6) elderly medium?low yield and low‐tech; and (7) low‐tech grazing. The most frequent technologies adopted by producers were milk meters systems (31.7%), milking parlor smart gate (14.5%), sensor systems to detect mastitis (8.4%), cow activity meter (7.1%), and body temperature (7.9%). Based on a scale containing numerical values (1?5), producers indicated ?available technical support? (mean; σ2) (4.55; 0.80) as the most important decision criterion involved in adopting technology, followed by ?return on investment?ROI? (4.48; 0.80), ?user‐ friendliness? (4.39; 0.88), ?upfront investment cost? (4.36; 0.81), and ?compatibility with farm management software? (4.2; 1.02). The most important factors precluding investment in precision dairy technologies were the need for investment in other sectors of the farm (36%), the uncertainty of ROI (24%), and lack of integration with otherfarm systems and software (11%). Farmers indicated that the most useful technologies were automatic milk meters systems (mean; σ2) (4.05; 1.66), sensor systems for mastitis detection (4.00; 1.57), automatic feeding systems (3.50; 2.05), cow activity meter (3.45; 1.95), and in‐line milk analyzers (3.45; 1.95). Overall, the concerns related to data integration, ROI, and user‐friendliness of technologies are similar to those of dairy farms located in other countries. Increasing available technical support for sensing technology can have a positive impact on technology adoption. 650 $aBovino 650 $aGado 650 $aPecuária 653 $aFazenda inteligente 700 1 $aPEREIRA, L. G. R. 700 1 $aPAIVA, C. A. V. 700 1 $aTOMICH, T. R. 700 1 $aTEIXEIRA, V. A. 700 1 $aSACRAMENTO, J. P. 700 1 $aFERREIRA, R. E. P. 700 1 $aCOELHO, S. G. 700 1 $aMACHADO, F. S. 700 1 $aCAMPOS, M. M. 700 1 $aDÓREA, J. R. R. 773 $tAnimals$gv. 11, 3488, 2021.
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