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Registro Completo |
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
13/12/2019 |
Data da última atualização: |
21/01/2020 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
REIS, J. C. dos; BONACIN, R.; CORREA, A.; PEREIRA, F. E. D.; PIEROZZI JUNIOR, I.; TORQUATO, S. A.; CARDOSO JUNIOR, J. L.; JESUS, K. R. E. de; ARAUJO, O. F. N. |
Afiliação: |
JULIO CESAR DOS REIS, IC-UNICAMP; RODRIGO BONACIN, INIFACCAMP; ANDREIWID CORREA, IFSP; FRANCISCO EDENEZIANO D PEREIRA; IVO PIEROZZI JUNIOR, CNPTIA; SERGIO A TORQUATO, IEA; JARBAS L CARDOSO JUNIOR, CTI Rnato Archer; KATIA REGINA EVARISTO DE JESUS, SIRE; OLGA FERNANDA N ARAUJO, CTI Renato Archer. |
Título: |
A framework for designing cognitive assistants to support agricultural production systems. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
In: IEEE INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES, 27., 2018, Paris. Infrastructure for collaborative enterprises: proceedings. Paris: Institute of Electrical and Electronics Engineers, 2018. |
Páginas: |
p. 281-284. |
Idioma: |
Inglês |
Conteúdo: |
Abstract: Cognitive assistants bring new opportunities to strengthen the coupling of data, information and knowledge aiming to collective intelligence. This technology can boost decision making on complex issues, such as Sustainability and Bioeconomy on agricultural production systems. However, the design of collaborative systems that explore cognitive assistants is an open research question. This challenge deals with meaning interpretation and involves semantic formal models to represent, in a systemic view, knowledge related to the structures, competencies, responsibilities, policies, and culture of a production system. In this paper, we propose a design framework for the development of solutions based on cognitive assistant technology. This framework contributes to a novel view of the design process by integrating a method for modeling complex system with formal semantic models, collective intelligent systems, and cognitive assistant development technologies. A scenario in a sugarcane production system illustrates the proposed framework. |
Palavras-Chave: |
Cognitive assistant design; Complex systems modelling; Digital agriculture; Semantic technologies. |
Thesaurus Nal: |
Computer software; Knowledge. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02083nam a2200289 a 4500 001 2116878 005 2020-01-21 008 2018 bl uuuu u01u1 u #d 100 1 $aREIS, J. C. dos 245 $aA framework for designing cognitive assistants to support agricultural production systems.$h[electronic resource] 260 $aIn: IEEE INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES, 27., 2018, Paris. Infrastructure for collaborative enterprises: proceedings. Paris: Institute of Electrical and Electronics Engineers$c2018 300 $ap. 281-284. 520 $aAbstract: Cognitive assistants bring new opportunities to strengthen the coupling of data, information and knowledge aiming to collective intelligence. This technology can boost decision making on complex issues, such as Sustainability and Bioeconomy on agricultural production systems. However, the design of collaborative systems that explore cognitive assistants is an open research question. This challenge deals with meaning interpretation and involves semantic formal models to represent, in a systemic view, knowledge related to the structures, competencies, responsibilities, policies, and culture of a production system. In this paper, we propose a design framework for the development of solutions based on cognitive assistant technology. This framework contributes to a novel view of the design process by integrating a method for modeling complex system with formal semantic models, collective intelligent systems, and cognitive assistant development technologies. A scenario in a sugarcane production system illustrates the proposed framework. 650 $aComputer software 650 $aKnowledge 653 $aCognitive assistant design 653 $aComplex systems modelling 653 $aDigital agriculture 653 $aSemantic technologies 700 1 $aBONACIN, R. 700 1 $aCORREA, A. 700 1 $aPEREIRA, F. E. D. 700 1 $aPIEROZZI JUNIOR, I. 700 1 $aTORQUATO, S. A. 700 1 $aCARDOSO JUNIOR, J. L. 700 1 $aJESUS, K. R. E. de 700 1 $aARAUJO, O. F. N.
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Embrapa Meio Ambiente (CNPMA) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Ocidental. Para informações adicionais entre em contato com cpaa.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Amazônia Ocidental. |
Data corrente: |
26/05/2020 |
Data da última atualização: |
04/01/2021 |
Tipo da produção científica: |
Nota Técnica/Nota Científica |
Autoria: |
CATARINO, A. de M.; SOUSA, T. F.; LIMA, E. J. S. P. de; ZERBINI, F. M.; SANDE, O. F. L.; NASCIMENTO, M. B.; CRUZ, J. C. da; HANADA, R. E.; NASCIMENTO, A. R. do; ASSIS, L. A. G. de; COSTA, C. A. da; SILVA, G. F. da. |
Afiliação: |
Aricléia de M. Catarino; Thiago F. Sousa; Emilly J. S. P. de Lima; Francisco M. Zerbini; Osvaldo F. L. Sande; Monique B. Nascimento; JEFERSON CHAGAS DA CRUZ, CPAA; Rogério E. Hanada; Áquila R. do Nascimento; Luiz A. G. de Assis; Cristovão A. da Costa; GILVAN FERREIRA DA SILVA, CPAA. |
Título: |
Molecular detection of Euphorbia yellow mosaic virus infecting chili pepper. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Tropical Plant Pathology, v. 45, n. 4, p. 454-460, 2020. |
DOI: |
https://doi.org/10.1007/s40858-020-00365-6 |
Idioma: |
Inglês |
Thesagro: |
Capsicum Chinense. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00825naa a2200265 a 4500 001 2122594 005 2021-01-04 008 2020 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1007/s40858-020-00365-6$2DOI 100 1 $aCATARINO, A. de M. 245 $aMolecular detection of Euphorbia yellow mosaic virus infecting chili pepper.$h[electronic resource] 260 $c2020 650 $aCapsicum Chinense 700 1 $aSOUSA, T. F. 700 1 $aLIMA, E. J. S. P. de 700 1 $aZERBINI, F. M. 700 1 $aSANDE, O. F. L. 700 1 $aNASCIMENTO, M. B. 700 1 $aCRUZ, J. C. da 700 1 $aHANADA, R. E. 700 1 $aNASCIMENTO, A. R. do 700 1 $aASSIS, L. A. G. de 700 1 $aCOSTA, C. A. da 700 1 $aSILVA, G. F. da 773 $tTropical Plant Pathology$gv. 45, n. 4, p. 454-460, 2020.
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