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| 1. |  | MARTINS, C. P. S.; NEVES, D. M.; CIDADE, A. C.; MENDES, A. F. S.; SILVA, D. C.; ALMEIDA, ALEX-ALAN F.; COELHO FILHO, M. A.; GESTEIRA, A. da S.; SOARES FILHO, W. dos S.; COSTA, M. G. C. Expression of the citrus CsTIP2;1 gene improves tobacco plant growth, antioxidant capacity and physiological adaptation under stress conditions. Planta, January, 2017.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Meio Ambiente. Para informações adicionais entre em contato com cnpma.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
13/12/2019 |
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Data da última atualização: |
21/01/2020 |
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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; 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. |
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Título: |
A framework for designing cognitive assistants to support agricultural production systems. |
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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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Idioma: |
Inglês |
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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: |
Cognitive assistant design; Complex systems modelling; Digital agriculture; Semantic technologies. |
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Thesaurus NAL: |
Computer software; Knowledge. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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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.
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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