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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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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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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
14/02/2019 |
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Data da última atualização: |
15/03/2019 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MELLO, K. K. de S.; PADILHA, M. L. R.; MARTORANO, L. G.; SOUZA, R. A. de. |
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Afiliação: |
Kelly Karoline de Souza Mello, GRADUANDA UFOPA; Maria Lita Romano Padilha, UFOPA; LUCIETA GUERREIRO MARTORANO, CPATU; Railton Almeida de Souza, GRADUANDO UFOPA. |
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Título: |
Semente crioula de milho (Zea mays L.) na Amazônia: massa úmida e germinação. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In: SEMINÁRIO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA AMAZÔNIA ORIENTAL, 22., 2018, Belém, PA. Anais... Belém, PA: Embrapa Amazônia Oriental, 2018. |
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Páginas: |
p. 151-156. |
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Idioma: |
Português |
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Conteúdo: |
O objetivo neste trabalho foi avaliar a qualidade fisiológica de sete procedências de milho crioulos oriundos de áreas de cultivos agrícolas no oeste do Pará. O experimento foi conduzido no Laboratório de Sementes da Universidade Federal do Oeste do Pará, sendo os testes de germinação realizados entre janeiro a fevereiro de 2018. Foram estabelecidas sete repetições contabilizando 100 sementes para cada uma das quatro (04) procedências. Em caixas gerboxs as sementes foram distribuídas em cada repetição. No germinador do tipo B.O.D (Demanda Bioquímica de Oxigênio) as sementes foram mantidas a uma temperatura de 25° C e avaliadas a partir do quarto e sétimo dia após a inserção no germinador, sendo contabilizadas as plântulas bem desenvolvidas (normais) e as que apresentavam alterações morfológicas com defeitos (anormais). Os resultados apontaram que as sementes crioulas de milho testadas expressaram valores com reduzida massa úmida para procedência Cajutuba-clara (19,2 g), contudo apresentou satisfatório poder germinativo em relação as demais procedências analisadas. As sementes crioulas de Cajutuba-claro, Cajutuba-escuro e Belterra-claro são as mais indicadas em ações de trocas de sementes. Características morfológicas do pericarpo das sementes oriundas de Belterra podem explicar que nem sempre o tamanho expressa o maior vigor germinativo desses materiais genéticos. |
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Thesagro: |
Germinação; Milho; Semente; Zea Mays. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/192817/1/AnaisPIBIC2018-152-157.pdf
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Marc: |
LEADER 02112nam a2200205 a 4500
001 2106014
005 2019-03-15
008 2018 bl uuuu u00u1 u #d
100 1 $aMELLO, K. K. de S.
245 $aSemente crioula de milho (Zea mays L.) na Amazônia$bmassa úmida e germinação.$h[electronic resource]
260 $aIn: SEMINÁRIO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA AMAZÔNIA ORIENTAL, 22., 2018, Belém, PA. Anais... Belém, PA: Embrapa Amazônia Oriental$c2018
300 $ap. 151-156.
520 $aO objetivo neste trabalho foi avaliar a qualidade fisiológica de sete procedências de milho crioulos oriundos de áreas de cultivos agrícolas no oeste do Pará. O experimento foi conduzido no Laboratório de Sementes da Universidade Federal do Oeste do Pará, sendo os testes de germinação realizados entre janeiro a fevereiro de 2018. Foram estabelecidas sete repetições contabilizando 100 sementes para cada uma das quatro (04) procedências. Em caixas gerboxs as sementes foram distribuídas em cada repetição. No germinador do tipo B.O.D (Demanda Bioquímica de Oxigênio) as sementes foram mantidas a uma temperatura de 25° C e avaliadas a partir do quarto e sétimo dia após a inserção no germinador, sendo contabilizadas as plântulas bem desenvolvidas (normais) e as que apresentavam alterações morfológicas com defeitos (anormais). Os resultados apontaram que as sementes crioulas de milho testadas expressaram valores com reduzida massa úmida para procedência Cajutuba-clara (19,2 g), contudo apresentou satisfatório poder germinativo em relação as demais procedências analisadas. As sementes crioulas de Cajutuba-claro, Cajutuba-escuro e Belterra-claro são as mais indicadas em ações de trocas de sementes. Características morfológicas do pericarpo das sementes oriundas de Belterra podem explicar que nem sempre o tamanho expressa o maior vigor germinativo desses materiais genéticos.
650 $aGerminação
650 $aMilho
650 $aSemente
650 $aZea Mays
700 1 $aPADILHA, M. L. R.
700 1 $aMARTORANO, L. G.
700 1 $aSOUZA, R. A. de
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Embrapa Amazônia Oriental (CPATU) |
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