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| Registros recuperados : 103 | |
| 6. |  | FREITAS, G. A. R.; COELHO, S. G.; GONCALVES, L. C.; RODRIGUES, J. A. S.; BORGES, I. Consumo e digestibilidade aparente da matéria seca, proteína e energia bruta, e balanco de nitrogênio das silagens de cinco genótipos de milho. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, Belo Horizonte, v. 55, n. 4, p. 443-449, 2003.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 9. | | AZEVEDO, R. A. de; ARAÚJO, L.; COELHO, S. G.; FARIA FILHOI, D. E. de; DUARTE, E. R.; GERASEEV, L. C. Desempenho de bezerros alimentados com silagem de leite de transição. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 48, n. 5, p. 545-552, maio 2013. Título em inglês: Performance of calves fed silage transition milk.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 12. | | CHOW, L. A.; VALLE, M. A. G.; COELHO, S. G.; COELHO, E. N.; RUAS, J. R. M.; AZEVEDO, N. A. Transferencia de embrioes em caprinos. Relato de um caso. Revista Brasileira de Reproducao Animal, v.10, n.1, p.9-10, 1986.| Biblioteca(s): Embrapa Caprinos e Ovinos. |
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| 14. | | JOLOMBA, J. R.; MARCONDES, M. I.; VELOSO, C. M.; OSS, D. B.; AZEVEDO, R. A.; COELHO, S. G.; CAMPOS, M. M. Breed effect on energy requirements of crossbred (Holstein x Gyr) or purebred Holstein calves. In: SIMPÓSIO NACIONAL DE BOVINOCULTURA LEITEIRA - SIMLEITE, 5.; SIMPÓSIO INTERNACIONAL DE BOVINOCULTURA LEITEIRA, 3., 2015, Viçosa, MG. Anais... Viçosa: UFV, 2015. p. 381-383.| Biblioteca(s): Embrapa Gado de Leite. |
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| 15. | | SOARES, G. O.; NEVES, L. F. M.; GOMES, M. B.; FERREIRA, S. E.; SILVA, A. S.; DIAVÃO, J.; COELHO, S. G.; MACHADO, F. S.; CAMPOS, M. M. Consumo de leite, concentrado e água de bezerros holandeses nos primeiros 28 dias de idade sob estresse térmico por calor. In: WORKSHOP DE INICIAÇÃO CIENTÍFICA DA EMBRAPA GADO DE LEITE PIBIC/CNPQ, 26., 2022, Juiz de Fora. Anais... Juiz de Fora: Embrapa Gado de Leite, 2022. p. 30-34.| Biblioteca(s): Embrapa Gado de Leite. |
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| 16. | | MATOS, J. P. C. De; RUFINO, S. R. De A.; CARVALHO, B. C. de; CAMPOS, M. M.; COELHO, S. G.; PIRES, M. de F. A. Comportamento de bezerros na fase de cria: utilização de abrigo móvel. In: SIMPÓSIO BRASILEIRO DE AGROPECUÁRIA SUSTENTÁVEL., 8.; INTERNATIONAL CONFERENCE ON SUSTAINABLE AGRICULTURE, 5. Sinop. Ciência, tecnologia e inovação para o desenvolvimento sustentável das novas fronteiras agrícolas: anais. [Sinop: SIMBRAS], 2016. p. 180-184.| Biblioteca(s): Embrapa Gado de Leite. |
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| 17. | | MARTINS, P. do C.; CAMPOS, M. M.; LIMA, J. A. M.; MACHADO, F. S.; PEREIRA, L. G. R.; TOMICH, T. R.; POSSAS, F. P.; COELHO, S. G. Infrared thermography in Crossbred (Holsreins x Gyr) dairy heifers differing in phenotypic residual feed intake In: INTERNATIONAL MEETING OF ADVANCES IN ANIMAL SCIENCE, 1., 2016, Jaboticabal. Anais ... Jaboticabal: [s.n.], 2016.| Biblioteca(s): Embrapa Gado de Leite. |
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| 19. | | LAGE, C. F. de A.; MARTINS, P. C.; MACHADO, F. S.; CAMPOS, M. M.; RIBAS, M. N.; CAVALCANTI, L. F.; LIMA, J. A. M.; COELHO, S. G. Monitoramento eletrônico do consumo e comportamento ingestivo de novilhas mestiças em estro. In: CONGRESSO INTERNACIONAL DO LEITE, 13., 2015, Porto Alegre. Anais... Juiz de Fora: Embrapa Gado de Leite, 2015. 4 p.| Biblioteca(s): Embrapa Gado de Leite. |
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| Registros recuperados : 103 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
10/12/2021 |
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Data da última atualização: |
03/10/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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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. |
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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. |
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Título: |
Adoption of precision technologies by brazilian dairy farms: the farmer's perception. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Animals, v. 11, 3488, 2021. |
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DOI: |
https://doi.org/10.3390/ani11123488 |
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Idioma: |
Inglês |
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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 |
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Palavras-Chave: |
Fazenda inteligente. |
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Thesagro: |
Bovino; Gado; Pecuária. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/228920/1/Adoption-precision.pdf
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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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