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| Registros recuperados : 29 | |
| 26. |  | JESUS, K. R. E. de; MOURA, J. P. S. de; LIMEIRA, W. A.; TORQUATO, S. A.; MASSINI, K. C.; GARAVITO, J.; VALADÃO, L.; MOREIRA, D. de A. Desenvolvimento de ontologias e linguagem de domínio específico para análises de complexidade semântica em nanotecnologia agrícola. In: WORKSHOP DE NANOTECNOLOGIA APLICADA AO AGRONEGÓCIO, 9., 2017, São Carlos. Anais... São Carlos: Embrapa Instrumentação, 2017. p. 671-674.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 27. | | 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. A framework for designing cognitive assistants to support agricultural production systems. In: IEEE INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES, 27., 2018, Paris. Infrastructure for collaborative enterprises: proceedings. Paris: Institute of Electrical and Electronics Engineers, 2018. p. 281-284.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 28. | | 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. A framework for designing cognitive assistants to support agricultural production systems. In: IEEE INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES, 27., 2018, Paris. Infrastructure for collaborative enterprises: proceedings. Paris: Institute of Electrical and Electronics Engineers, 2018. p. 281-284. WETICE 2018.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 29. | | JESUS, K. R. E. de; TORQUATO, S. A.; MACHADO, P. G.; ZORZO, C. R. B.; CARDOSO, B. O.; LEAL, M. R. L. V.; PICOLI, M. C. A.; RAMOS, R. C.; DALMAGO, G. A.; CAPITANI, D. H. D.; DUFT, D. G.; SUÁREZ, J. G.; PIEROZZI JUNIOR, I.; TREVELIN, L. C.; MOREIRA, D. A. Sustainability assessment of sugarcane production systems: SustenAgro Decision Support System. Environmental Development, v. 32, p. 1-16, Dec. 2019. Article 100444| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Unidades Centrais. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
16/12/2019 |
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Data da última atualização: |
07/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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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. |
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Afiliação: |
JULIO CESAR DOS REIS, IC-UNICAMP; RODRIGO BONACIN, INIFACCAMP, CTI Renato Archer; ANDREIWID CORREA, IFSP; FRANCISCO EDENEZIANO D. PEREIRA, CTI Renato Archer; IVO PIEROZZI JUNIOR, CNPTIA; SERGIO A. TORQUATO, Institute of Agricultural Economics; JARBAS L. CARDOSO JUNIOR, CTI Renato Archer; KATIA REGINA EVARISTO DE JESUS, SIRE; OLGA FERNANDA N. ARAUJO, CTI Renato Archer. |
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Título: |
A framework for designing cognitive assistants to support agricultural production systems. |
|
Ano de publicação: |
2018 |
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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. |
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Páginas: |
p. 281-284. |
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ISBN: |
978-1-5386-6916-7/ |
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DOI: |
10.1109/WETICE.2018.00060 |
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Idioma: |
Inglês |
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Notas: |
WETICE 2018. |
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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. |
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Palavras-Chave: |
Agricultura digital; Cognitive assistant design; Complex systems modelling; Digital agriculture; Semantic technologies. |
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Thesaurus NAL: |
Agriculture; Computer software; Knowledge. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
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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.
500 $aWETICE 2018.
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 $aAgriculture
650 $aComputer software
650 $aKnowledge
653 $aAgricultura digital
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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