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| Registros recuperados : 4 | |
| 1. |  | RUMPEL, C.; AMIRASLANI, F.; CHENU, C.; GARCIA CARDENAS, M.; KAONGA, M.; KOUTIKA, L-S.; LADHA, J.; MADARI, B.; SHIRATO, Y.; SMITH, P.; SOUDI, B.; SOUSSANA, J-F.; WHITEHEAD, D.; WOLLENBERG, E. The 4p1000 initiative: opportunities, limitations and challenges for implementing soil organic carbon sequestration as a sustainable development strategy. Ambio, v. 49, n. 1, p. 350-360, Jan. 2020.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 2. | | CHENU, C.; AMIRASLANI, F.; GARCIA CARDENAS, M.; KAONGA, M.; KOUTIKA, L-S.; LADHA, J.; MADARI, B. E.; RUMPEL, C.; SHIRATO, Y.; SMITH, P.; SOUDI, B.; SOUSSANA, J-F; WHITEHEAD, D.; WOLLENBERG, L. The 4 per 1000 initiative. In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: proceedings. Rio de Janeiro: SBCS, 2018.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 3. | | RUMPEL, C.; AMIRASLANI, F.; CHENU, C.; GARCIA CARDENAS, M.; KAONGA, M.; KOUTIKA, L-S; LADHA, J.; MADARI, B. E.; SHIRATO, Y.; SMITH, P.; SOUDI, B.; SOUSSANA, J-F.; WHITEHEAD, D.; WOLLENBERG, L. The 4 per mille initiative is promoting the implementation of sustainable development goals through science-policy-practice interactions. In: TERRAenVISION18, 2018, Barcelona. Conference: proceedings. Barcelona: University of Barcelona, 2018.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 4. | | RUMPEL, C.; AMIRASLANI, F.; BOSSIO, D.; CHENU, C.; GARCIA CARDENAS, M.; HENRY, B.; FUENTES ESPINOZA, A.; KOUTIKA, L.-S.; LADHA, J.; MADARI, B. E.; MINASNY, B.; OLALEYE, A.; SALL, S. N.; SHIRATO, Y.; SOUSSANA, J.-F.; VARELA-ORTEGA, C. Studies from global regions indicate promising avenues for maintaining and increasing soil organic carbon stocks. Regional Environmental Change, v. 23, 2023.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| Registros recuperados : 4 | |
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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. |
|
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. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
LEADER 02223nam a2200337 a 4500
001 2116996
005 2020-01-07
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1109/WETICE.2018.00060$2DOI
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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