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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. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
10/08/2009 |
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Data da última atualização: |
15/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
ROMANI, L. A. S.; ZULLO JÚNIOR, J.; NASCIMENTO, C. R.; GONÇALVES, R. R. V.; TRAINA, C; TRAINA, A. J. M. |
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Afiliação: |
LUCIANA ALVIM SANTOS ROMANI, CNPTIA; JURANDIR ZULLO JÚNIOR, CEPAGRI/UNICAMP; C. R. NASCIMENTO, FEAGRI/UNICAMP; R. R. V. GONÇALVES, FEAGRI/UNICAMP; C. TRAINA, ICMC/USP; A. J. M. TRAINA, ICMC/USP. |
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Título: |
Monitoring sugar cane crops through DTW-based method for similarity search in NDVI time series. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
In: INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES, 5., 2009, Groton, Connecticut. Proceedings... Storrs: UConn, 2009. |
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Páginas: |
p. 171-178. |
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Idioma: |
Inglês |
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Notas: |
MultiTemp 2009. |
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Conteúdo: |
Brazil is an important sugar cane producer, which is the main resource for ethanol production, a renewable source of energy. Due to the strategical importance of this agricultural commodity, it is necessary to improve models that assist the crops monitoring process. Recently, remote sensing images have also been used to crops monitoring. Vegetation index images obtained by operations between satellite channels, for instance, can be taken over a season, showing the development of crops. Specialists in agrometeorology need methods which aim at understanding and mining these datasets to discover interesting patterns and knowledge. Accordingly, this paper presents a methodology to analyze NDVI time series using a distance function based on dynamic time warping distance (DTW) to perform similarity search. The experiments were done for NDVI multi-temporal images from seven harvests regarding the period from April/2001 to March/2008. NDVI time series was generated from NOAA-AVHRR images of a relevant sugar cane producer region in Brazil. Two different distance functions were compared and DTW reached better results than Euclidean distance. The proposed method allowed comparing harvests in different regions and in the same time series. Results of similarity search on NDVI time series demonstrate the efficacy of the use of distance function to similarity search in remote sensing data. This approach is appropriate to assess patterns in a long time series of multi-temporal images and can assist in the process of decision making by agricultural entrepreneurs. MenosBrazil is an important sugar cane producer, which is the main resource for ethanol production, a renewable source of energy. Due to the strategical importance of this agricultural commodity, it is necessary to improve models that assist the crops monitoring process. Recently, remote sensing images have also been used to crops monitoring. Vegetation index images obtained by operations between satellite channels, for instance, can be taken over a season, showing the development of crops. Specialists in agrometeorology need methods which aim at understanding and mining these datasets to discover interesting patterns and knowledge. Accordingly, this paper presents a methodology to analyze NDVI time series using a distance function based on dynamic time warping distance (DTW) to perform similarity search. The experiments were done for NDVI multi-temporal images from seven harvests regarding the period from April/2001 to March/2008. NDVI time series was generated from NOAA-AVHRR images of a relevant sugar cane producer region in Brazil. Two different distance functions were compared and DTW reached better results than Euclidean distance. The proposed method allowed comparing harvests in different regions and in the same time series. Results of similarity search on NDVI time series demonstrate the efficacy of the use of distance function to similarity search in remote sensing data. This approach is appropriate to assess patterns in a long time series of multi-temporal images and ca... Mostrar Tudo |
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Palavras-Chave: |
Agrometeorologia; Imagens multitemporais de NDVI; Imagens NOAA-AVHRR. |
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Thesagro: |
Agricultura; Cana de açúcar; Sensoriamento remoto. |
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Thesaurus Nal: |
Agrometeorology; Remote sensing; Sugarcane. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02571nam a2200301 a 4500
001 1256605
005 2020-01-15
008 2009 bl uuuu u00u1 u #d
100 1 $aROMANI, L. A. S.
245 $aMonitoring sugar cane crops through DTW-based method for similarity search in NDVI time series.$h[electronic resource]
260 $aIn: INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES, 5., 2009, Groton, Connecticut. Proceedings... Storrs: UConn$c2009
300 $ap. 171-178.
500 $aMultiTemp 2009.
520 $aBrazil is an important sugar cane producer, which is the main resource for ethanol production, a renewable source of energy. Due to the strategical importance of this agricultural commodity, it is necessary to improve models that assist the crops monitoring process. Recently, remote sensing images have also been used to crops monitoring. Vegetation index images obtained by operations between satellite channels, for instance, can be taken over a season, showing the development of crops. Specialists in agrometeorology need methods which aim at understanding and mining these datasets to discover interesting patterns and knowledge. Accordingly, this paper presents a methodology to analyze NDVI time series using a distance function based on dynamic time warping distance (DTW) to perform similarity search. The experiments were done for NDVI multi-temporal images from seven harvests regarding the period from April/2001 to March/2008. NDVI time series was generated from NOAA-AVHRR images of a relevant sugar cane producer region in Brazil. Two different distance functions were compared and DTW reached better results than Euclidean distance. The proposed method allowed comparing harvests in different regions and in the same time series. Results of similarity search on NDVI time series demonstrate the efficacy of the use of distance function to similarity search in remote sensing data. This approach is appropriate to assess patterns in a long time series of multi-temporal images and can assist in the process of decision making by agricultural entrepreneurs.
650 $aAgrometeorology
650 $aRemote sensing
650 $aSugarcane
650 $aAgricultura
650 $aCana de açúcar
650 $aSensoriamento remoto
653 $aAgrometeorologia
653 $aImagens multitemporais de NDVI
653 $aImagens NOAA-AVHRR
700 1 $aZULLO JÚNIOR, J.
700 1 $aNASCIMENTO, C. R.
700 1 $aGONÇALVES, R. R. V.
700 1 $aTRAINA, C
700 1 $aTRAINA, A. J. M.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
17/11/2022 |
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Data da última atualização: |
14/07/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
ZWAR, I. P.; TROTTA, C. do V.; ZIOTTI, A. B. S.; LIMA NETO, M.; ARAÚJO, W. L. de; MELO, I. S. de; OTTONI, C. A.; SOUZA, A. O. de. |
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Afiliação: |
INGRID PADOVESE ZWAR, INSTITUTO BUTANTAN; CATERINA DO VALLE TROTTA, UNIVERSIDADE ESTADUAL PAULISTA; ANA BEATRIZ SICCHIERI ZIOTTI, UNIVERSIDADE ESTADUAL PAULISTA; MILTON LIMA NETO, UNIVERSIDADE ESTADUAL PAULISTA; WELINGTON LUIZ DE ARAÚJO, UNIVERSIDADE DE SÃO PAULO; ITAMAR SOARES DE MELO, CNPMA; CRISTIANE ANGÉLICA OTTONI, UNIVERSIDADE ESTADUAL PAULISTA; ANA OLÍVIA DE SOUZA, INSTITUTO BUTANTAN. |
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Título: |
Biosynthesis of silver nanoparticles using actinomycetes, phytotoxicity on rice seeds, and potential application in the biocontrol of phytopathogens. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Journal of Basic Microbiology, v. 63, n. 1, p. 64-74, 2022. |
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ISSN: |
0233-111X |
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DOI: |
https://doi.org/10.1002/jobm.202200439 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: To find effective silver nanoparticles (AgNPs) for control of phytopathogens, in this study, two strains of actinomycetes isolated from the soil of the Brazilian biome Caatinga (Caat5-35) and from mangrove sediment (Canv1-58) were utilized. The strains were identified by using the 16S rRNA gene sequencing as Streptomyces sp., related to Streptomyces mimosus species. The obtained AgNPs were coded as AgNPs 35 and AgNPs58 and characterized by size and morphology using dynamic light scattering, zeta potential, transmission electron microscopy, and Fourier transformed infrared (FTIR). The antifungal activity of the AgNPs35 and AgNPs58 was evaluated in vitro by the minimal inhibitory concentration (MIC) assay on the phytopathogens, Alternaria solani, Alternaria alternata, and Colletotrichum gloeosporioides. The phytotoxic effect was evaluated by the germination rate and seedling growth of rice (Oryza sativa). AgNPs35 and AgNPs58 showed surface plasmon resonance and average sizes of 30 and 60 nm, respectively. Both AgNPs presented spherical shape and the FTIR analysis confirmed the presence of functional groups such as free amines and hydroxyls of biomolecules bounded to the external layer of the nanoparticles. Both AgNPs inhibited the growth of the three phytopathogens tested, and A. alternate was the most sensible (MIC < = 4 µM). Moreover, the AgNPs35 and AgNPs58 did not induce phytotoxic effects on the germination and development of rice seedlings. In conclusion, these AgNPs are promising candidates to biocontrol of these phytopathogens without endangering rice plants. MenosAbstract: To find effective silver nanoparticles (AgNPs) for control of phytopathogens, in this study, two strains of actinomycetes isolated from the soil of the Brazilian biome Caatinga (Caat5-35) and from mangrove sediment (Canv1-58) were utilized. The strains were identified by using the 16S rRNA gene sequencing as Streptomyces sp., related to Streptomyces mimosus species. The obtained AgNPs were coded as AgNPs 35 and AgNPs58 and characterized by size and morphology using dynamic light scattering, zeta potential, transmission electron microscopy, and Fourier transformed infrared (FTIR). The antifungal activity of the AgNPs35 and AgNPs58 was evaluated in vitro by the minimal inhibitory concentration (MIC) assay on the phytopathogens, Alternaria solani, Alternaria alternata, and Colletotrichum gloeosporioides. The phytotoxic effect was evaluated by the germination rate and seedling growth of rice (Oryza sativa). AgNPs35 and AgNPs58 showed surface plasmon resonance and average sizes of 30 and 60 nm, respectively. Both AgNPs presented spherical shape and the FTIR analysis confirmed the presence of functional groups such as free amines and hydroxyls of biomolecules bounded to the external layer of the nanoparticles. Both AgNPs inhibited the growth of the three phytopathogens tested, and A. alternate was the most sensible (MIC < = 4 µM). Moreover, the AgNPs35 and AgNPs58 did not induce phytotoxic effects on the germination and development of rice seedlings. In conclusion, these... Mostrar Tudo |
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Thesagro: |
Actinomiceto; Controle Biológico; Doença de Planta. |
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Thesaurus NAL: |
Actinomyces; Biological control agents; Fungal diseases of plants; Nanoparticles; Nanosilver. |
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Categoria do assunto: |
H Saúde e Patologia |
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Marc: |
LEADER 02634naa a2200325 a 4500
001 2148405
005 2023-07-14
008 2022 bl uuuu u00u1 u #d
022 $a0233-111X
024 7 $ahttps://doi.org/10.1002/jobm.202200439$2DOI
100 1 $aZWAR, I. P.
245 $aBiosynthesis of silver nanoparticles using actinomycetes, phytotoxicity on rice seeds, and potential application in the biocontrol of phytopathogens.$h[electronic resource]
260 $c2022
520 $aAbstract: To find effective silver nanoparticles (AgNPs) for control of phytopathogens, in this study, two strains of actinomycetes isolated from the soil of the Brazilian biome Caatinga (Caat5-35) and from mangrove sediment (Canv1-58) were utilized. The strains were identified by using the 16S rRNA gene sequencing as Streptomyces sp., related to Streptomyces mimosus species. The obtained AgNPs were coded as AgNPs 35 and AgNPs58 and characterized by size and morphology using dynamic light scattering, zeta potential, transmission electron microscopy, and Fourier transformed infrared (FTIR). The antifungal activity of the AgNPs35 and AgNPs58 was evaluated in vitro by the minimal inhibitory concentration (MIC) assay on the phytopathogens, Alternaria solani, Alternaria alternata, and Colletotrichum gloeosporioides. The phytotoxic effect was evaluated by the germination rate and seedling growth of rice (Oryza sativa). AgNPs35 and AgNPs58 showed surface plasmon resonance and average sizes of 30 and 60 nm, respectively. Both AgNPs presented spherical shape and the FTIR analysis confirmed the presence of functional groups such as free amines and hydroxyls of biomolecules bounded to the external layer of the nanoparticles. Both AgNPs inhibited the growth of the three phytopathogens tested, and A. alternate was the most sensible (MIC < = 4 µM). Moreover, the AgNPs35 and AgNPs58 did not induce phytotoxic effects on the germination and development of rice seedlings. In conclusion, these AgNPs are promising candidates to biocontrol of these phytopathogens without endangering rice plants.
650 $aActinomyces
650 $aBiological control agents
650 $aFungal diseases of plants
650 $aNanoparticles
650 $aNanosilver
650 $aActinomiceto
650 $aControle Biológico
650 $aDoença de Planta
700 1 $aTROTTA, C. do V.
700 1 $aZIOTTI, A. B. S.
700 1 $aLIMA NETO, M.
700 1 $aARAÚJO, W. L. de
700 1 $aMELO, I. S. de
700 1 $aOTTONI, C. A.
700 1 $aSOUZA, A. O. de
773 $tJournal of Basic Microbiology$gv. 63, n. 1, p. 64-74, 2022.
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