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Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
17/12/2009 |
Data da última atualização: |
15/01/2020 |
Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
Autoria: |
MACÁRIO, C. G. N.; SOUSA, S. R. de; MEDEIROS, C. B. |
Afiliação: |
CARLA GEOVANA DO NASCIMENTO MACARIO, CNPTIA; SIDNEY ROBERTO DE SOUSA, Unicamp; CLAUDIA BAUZER MEDEIROS, Unicamp. |
Título: |
Annotating geospatial data based on its semantics. |
Ano de publicação: |
2009 |
Fonte/Imprenta: |
In: ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS, 17., 2009, Seattle. Proceedings... NewYork: ACM, 2009. |
Páginas: |
p. 81-90. |
Idioma: |
Inglês |
Notas: |
ACM SIGSPATIAL GIS 2009. |
Conteúdo: |
Geospatial information (GI) constitutes a significant portion of available data and are a key factor in planning and decision-making in a variety of domains, such as emergency management and agriculture. However, to be used, these data have to be interpreted, sometimes producing new data and information. This new information is generally embedded on additional files, or remains on experts' brains. Hence, every time a user wants to use its knowledge, data have to be interpreted again. This paper presents a framework for alleviating this problem based on semi-automatic annotation of geospatial data. This framework is described in detail, as well the choices made in its design and implementation. At the end, we present a case study in agriculture, used to validate our proposal. |
Palavras-Chave: |
Anotação semântica; Dados geoespaciais; Geospatial standards; Semantic annotation; Semantic interoperability. |
Thesaurus Nal: |
Spatial data. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 01558nam a2200229 a 4500 001 1578320 005 2020-01-15 008 2009 bl uuuu u00u1 u #d 100 1 $aMACÁRIO, C. G. N. 245 $aAnnotating geospatial data based on its semantics.$h[electronic resource] 260 $aIn: ACM SIGSPATIAL INTERNATIONAL CONFERENCE ON ADVANCES IN GEOGRAPHIC INFORMATION SYSTEMS, 17., 2009, Seattle. Proceedings... NewYork: ACM$c2009 300 $ap. 81-90. 500 $aACM SIGSPATIAL GIS 2009. 520 $aGeospatial information (GI) constitutes a significant portion of available data and are a key factor in planning and decision-making in a variety of domains, such as emergency management and agriculture. However, to be used, these data have to be interpreted, sometimes producing new data and information. This new information is generally embedded on additional files, or remains on experts' brains. Hence, every time a user wants to use its knowledge, data have to be interpreted again. This paper presents a framework for alleviating this problem based on semi-automatic annotation of geospatial data. This framework is described in detail, as well the choices made in its design and implementation. At the end, we present a case study in agriculture, used to validate our proposal. 650 $aSpatial data 653 $aAnotação semântica 653 $aDados geoespaciais 653 $aGeospatial standards 653 $aSemantic annotation 653 $aSemantic interoperability 700 1 $aSOUSA, S. R. de 700 1 $aMEDEIROS, C. B.
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Embrapa Agricultura Digital (CNPTIA) |
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Registro Completo
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
24/09/2021 |
Data da última atualização: |
24/01/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
GALON, L.; BRUNETTO, L.; SILVA, A. M. L. da; SOLIGO, V.; CAVALETTI, D. C.; SILVA, A. F. da; GALLINA, A.; FRANCESCHETTI, M. B.; FORTE, C. T.; PERIN, G. F. |
Afiliação: |
LEANDRO GALON, Universidade Federal da Fronteira Sul; LEONARDO BRUNETTO, Universidade Federal da Fronteira Sul; ANTONIO MARCOS LOUREIRO DA SILVA, Universidade Federal da Fronteira Sul; VINICIUS SOLIGO, Universidade Federal da Fronteira Sul; DANIEL CRISTIAN CAVALETTI, Universidade Federal da Fronteira Sul; ALEXANDRE FERREIRA DA SILVA, CNPMS; ALESSANDRA GALLINA, Universidade Federal da Fronteira Sul; MILENA BARRETTA FRANCESCHETTI, Universidade Federal da Fronteira Sul; CESAR TIAGO FORTE, Universidade Federal da Fronteira Sul; GISMAEL FRANCISCO PERIN, Universidade Federal da Fronteira Sul. |
Título: |
Tank mixture of glyphosate and 2,4-D applied on RR® maize crop. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Journal of Environmental Science and Health, Part B, v. 56, n. 11, p. 948-953, 2021. |
DOI: |
https://doi.org/10.1080/03601234.2021.1981102 |
Idioma: |
Inglês |
Conteúdo: |
Herbicide tank-mixing is often carried out by farmers aiming to control weeds in crops. Thus, it is important to evaluate the effects of these mixtures regarding the selectivity of crops. The aim of this work is to assess the selectivity of increasing doses of herbicides (glyphosate and 2,4-D), applied alone or as a mixture, on maize crop. Two experiments were carried out in randomized blocks, with four replications, during two crop years. The evaluated variables were: phytotoxicity, plant height, stem diameter, ear length, number of rows per ear, number of grains per row, mass of 1,000 grains and grain yield. The herbicide, 2,4-D, when applied in mixture with glyphosate caused severe phytotoxicity symptoms on maize. Grain yield and growth characteristics were not affected by the herbicides applied alone or as a mixture. Increasing doses of 2,4-D caused severe phytotoxicity symptoms on hybrid Status VIP3. Increasing doses of glyphosate did not show phytotoxicity symptoms and are not directly correlated to any injury caused by 2,4-D in the SX 5885 VIP3 maize hybrid. |
Thesagro: |
Herbicida; Milho. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
Marc: |
LEADER 01866naa a2200265 a 4500 001 2134760 005 2022-01-24 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1080/03601234.2021.1981102$2DOI 100 1 $aGALON, L. 245 $aTank mixture of glyphosate and 2,4-D applied on RR® maize crop.$h[electronic resource] 260 $c2021 520 $aHerbicide tank-mixing is often carried out by farmers aiming to control weeds in crops. Thus, it is important to evaluate the effects of these mixtures regarding the selectivity of crops. The aim of this work is to assess the selectivity of increasing doses of herbicides (glyphosate and 2,4-D), applied alone or as a mixture, on maize crop. Two experiments were carried out in randomized blocks, with four replications, during two crop years. The evaluated variables were: phytotoxicity, plant height, stem diameter, ear length, number of rows per ear, number of grains per row, mass of 1,000 grains and grain yield. The herbicide, 2,4-D, when applied in mixture with glyphosate caused severe phytotoxicity symptoms on maize. Grain yield and growth characteristics were not affected by the herbicides applied alone or as a mixture. Increasing doses of 2,4-D caused severe phytotoxicity symptoms on hybrid Status VIP3. Increasing doses of glyphosate did not show phytotoxicity symptoms and are not directly correlated to any injury caused by 2,4-D in the SX 5885 VIP3 maize hybrid. 650 $aHerbicida 650 $aMilho 700 1 $aBRUNETTO, L. 700 1 $aSILVA, A. M. L. da 700 1 $aSOLIGO, V. 700 1 $aCAVALETTI, D. C. 700 1 $aSILVA, A. F. da 700 1 $aGALLINA, A. 700 1 $aFRANCESCHETTI, M. B. 700 1 $aFORTE, C. T. 700 1 $aPERIN, G. F. 773 $tJournal of Environmental Science and Health, Part B$gv. 56, n. 11, p. 948-953, 2021.
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