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| Registros recuperados: 181 | |
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| LINS, E. A.; RODRIGUEZ, J. P. M.; SCOLOSKI, S. I.; PIVATO, J.; LIMA, M. B.; FERNANDES, J. M. C.; PEREIRA, P. R. V. da S.; LAU, D.; RIEDER, R.. |
| Aphids are insects that attack crops and cause damage directly, by consuming the sap of plants, and indirectly,by vectoring microorganisms that can cause diseases. Cereal crops are hosts for many aphid species, includingRhopalosiphumpadi(an economically important aphid species). Recording and classifying aphids are necessaryfor evaluating and predicting crop damage. Thus, serving as a basis for decision making on the utilization ofcontrolmeasures.Itcanalsobeusefultoevaluateplantresistancetoaphids.Traditionally,therecordingprocessis manual and depends on magnification and well-trained staff. The manual counting is also a time-consumingprocess and susceptible to errors. With this in mind, this paper presents a method and software to automate thecounting and... |
| Tipo: Artigo em periódico indexado (ALICE) |
Palavras-chave: Aphids; Counting; Classification; Computer vision; Measurement. |
| Ano: 2020 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1119503 |
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| SAVARY, S.; DJURLE, A.; YUEN, J.; FICKE, A.; ROSSI, V.; ESKER, P. D.; FERNANDES, J. M. C.; DEL PONTE, E. M.; KUMAR, J.; MADDEN, L. V.; PAUL, P.; MCROBERTS, N.; SINGH, P. K.; HUBER, L.; POPE DE VALLAVIELLE, C.; SAINT-JEAN, S.; WILLOCQUET, L.. |
| bitstream/item/170353/1/ID44266-2017v107n10p1109Phytopathology.pdf |
| Tipo: Artigo em periódico indexado (ALICE) |
Palavras-chave: Trigo; Doença de planta; Epidemiologia; Wheat; Plant disease; Epidemiology. |
| Ano: 2017 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1084281 |
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| ACHAPARINI, L. P.; FONTANA, D. C.; DALMAGO, G. A.; RODIGHERI, G.; FERNANDES, J. M. C.; SANTI, A.; VARGAS, P. R.. |
| A soja é uma leguminosa de ciclo anual e de grande importância econômica no Rio Grande do Sul. Para essa cultura, estresses provocados por deficiência hídrica são responsáveis pela instabilidade no rendimento e na produção de grãos. Uma das formas de monitorar a deficiência hídrica é por meio do sensoriamento remoto, o qual vem sendo amplamente utilizado na agricultura, muito frequentemente como índices de vegetação (IVs). O objetivo deste trabalho foi avaliar o padrão temporal dos índices NDVI e EVI para três safras de soja, com condições hídricas distintas, de forma a possibilitar a avaliação da relação entre IVs e as condições hídricas para a cultura. A área do experimento On Farm foi localizada no município de Carazinho ? RS. Na lavoura foi instalada... |
| Tipo: Artigo em periódico indexado (ALICE) |
Palavras-chave: Condição hídrica; NDVI; EVI; Rio Grande do Sul; Soja; Evapotranspiração; Deficiência Hídrica. |
| Ano: 2019 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1121184 |
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| BARBEDO, J. G. A.; KOENIGKAN, L. V.; HALFELD-VIEIRA, B. de A.; COSTA, R. V. da; NECHET, K. de L.; GODOY, C. V.; LOBO JUNIOR, M.; PATRÍCIO, F. R. A.; TALAMINI, V.; CHITARRA, L. G.; OLIVEIRA, S. A. S. de; ISHIDA, A. K. N.; FERNANDES, J. M. C.; SANTOS, T. T.; CAVALCANTI, F. R.; TERAO, D.; ANGELOTTI, F.. |
| Over the last few years, considerable effort has been spent by Embrapa in the construction of a plant disease database representative enough for the development of effective methods for automatic plant disease detection and recognition. In October of 2016, this database, called PDDB, had 2326 images of 171 diseases and other disorders affecting 21 plant species. PDDB size, although considerable, is not enough to allow the use of powerful techniques such as deep learning. In order to increase its size, each image was subdivided according to certain criteria, increasing the number of images to 46,513. Both the original (PDDB) and subdivided (XDB)databases are now being made freely available for academic research purposes, thus supporting new studies and... |
| Tipo: Artigo em periódico indexado (ALICE) |
Palavras-chave: Patologia vegetal; Banco de dados; Aprendizagem profunda; Processamento de imagem; Deep learning; Doença de Planta; Plant pathology; Plant diseases and disorders; Databases; Image analysis. |
| Ano: 2018 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1094883 |
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| BARBEDO, J. G. A.; KOENIGKAN, L. V.; HALFELD-VIEIRA, B. de A.; COSTA, R. V. da; NECHET, K. de L.; GODOY, C. V.; LOBO JUNIOR, M.; PATRÍCIO, F. R. A.; TALAMINI, V.; CHITARRA, L. G.; OLIVEIRA, S. A. S. de; ISHIDA, A. K. N.; FERNANDES, J. M. C.; SANTOS, T. T.; CAVALCANTI, F. R.; TERAO, D.; ANGELOTTI, F.. |
| Over the last few years, considerable effort has been spent by Embrapa in the construction of a plant disease database representative enough for the development of effective methods for automatic plant disease detection and recognition. In October of 2016, this database, called PDDB, had 2326 images of 171 diseases and other disorders affecting 21 plant species. PDDB size, although considerable, is not enough to allow the use of powerful techniques such as deep learning. In order to increase its size, each imag e was subdivided according to certain criteria, increasing the number of images to 46,513. Both the original (PDDB) and subdivided (XDB)databases are now being made freely available for academic research purposes, thus supporting new studies and... |
| Tipo: Artigo em periódico indexado (ALICE) |
Palavras-chave: Patologia vegetal; Banco de dados; Aprendizagem profunda; Imagem em processamento; Doença de Planta; Plant pathology; Plant diseases and disorders; Databases. |
| Ano: 2018 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1093944 |
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| BARBEDO, J. G. A.; KOENIGKAN, L. V.; HALFELD-VIEIRA, B. de A.; COSTA, R. V. da; NECHET, K. de L.; GODOY, C. V.; LOBO JUNIOR, M.; PATRÍCIO, F. R. A.; TALAMINI, V.; CHITARRA, L. G.; OLIVEIRA, S. A. S. de; ISHIDA, A. K. N.; FERNANDES, J. M. C.; SANTOS, T. T.; CAVALCANTI, F. R.; TERAO, D.; ANGELOTTI, F.. |
| Over the last few years, considerable effort has been spent by Embrapa in the construction of a plant disease database representative enough for the development of effective methods for automatic plant disease detection and recognition. In October of 2016, this database, called PDDB, had 2326 images of 171 diseases and other disorders affecting 21 plant species. PDDB size, although considerable, is not enough to allow the use of powerful techniques such as deep learning. In order to increase its size, each image was subdivided according to certain criteria, increasing the number of images to 46,513. Both the original (PDDB) and subdivided (XDB)databases are now being made freely available for academic research purposes, thus supporting new studies and... |
| Tipo: Artigo em periódico indexado (ALICE) |
Palavras-chave: Patologia vegetal; Banco de dados; Aprendizagem profunda; Imagem em processamento; Doença de Planta; Plant pathology; Plant diseases and disorders; Databases. |
| Ano: 2018 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1097219 |
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| BARBEDO, J. G. A.; KOENIGKAN, L. V.; HALFELD-VIEIRA, B. de A.; COSTA, R. V. da; NECHET, K. de L.; GODOY, C. V.; LOBO JUNIOR, M.; PATRÍCIO, F. R. A.; TALAMINI, V.; CHITARRA, L. G.; OLIVEIRA, S. A. S. de; ISHIDA, A. K. N.; FERNANDES, J. M. C.; SANTOS, T. T.; CAVALCANTI, F. R.; TERAO, D.; ANGELOTTI, F.. |
| Over the last few years, considerable effort has been spent by Embrapa in the construction of a plant disease database representative enough for the development of effective methods for automatic plant disease detection and recognition. In October of 2016, this database, called PDDB, had 2326 images of 171 diseases and other disorders affecting 21 plant species. PDDB size, although considerable, is not enough to allow the use of powerful techniques such as deep learning. In order to increase its size, each imag e was subdivided according to certain criteria, increasing the number of images to 46,513. Both the original (PDDB) and subdivided (XDB)databases are now being made freely available for academic research purposes, thus supporting new studies and... |
| Tipo: Artigo em periódico indexado (ALICE) |
Palavras-chave: Patologia vegetal; Banco de dados; Aprendizagem profunda; Imagem em processamento; Doença de Planta; Plant pathology; Plant diseases and disorders; Databases. |
| Ano: 2018 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1093910 |
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| ASSIS, F. P. de; DALBOSCO, J.; WILLINGTHON PAVAN; GODOY, C. V.; FERNANDES, J. M. C.; MEDEIROS, E. D.. |
| RESUMO: Este artigo apresenta um aplicativo web mobile multiplataforma para o monitoramento da ferrugem asiática da soja no Brasil. O aplicativo possibilita o uso de dispositivos móveis (smartphone ou tablet) para acessar, em tempo real, informações sobre as ocorrências da doença em todo o território brasileiro. Permite visualizar a disseminação da doença a cada safra, por meio de consultas, gráficos e mapas que possibilitam ao usuário visualizar em quais pontos se tem maior e menor número de ocorrências, assim como, sobre como a doença está se dispersando. ABSTRACT: This paper presents a multi-platform web mobile application for Asian soybean rust monitoring in Brazil. The application enables the use mobile devices (smartphone or tablet) to access... |
| Tipo: Artigo em anais de congresso (ALICE) |
Palavras-chave: Ferrugem asiática da soja; Dispositivo móvel; Monitoramento; Aplicativo web; Ferrugem; Fungo; Doença de planta; Phakopsora pachyrhizi; Soybean rust; Microbial growth; Plant diseases and disorders. |
| Ano: 2015 |
URL: http://www.alice.cnptia.embrapa.br/handle/doc/1028868 |
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| RODRIGUES, R. de A.; JULIATTI, F. C.; PEDRINI, J. E.; FERNANDES, J. M. C.; JUSTINO, F. B.; HEINEMANN, A. B.; FRAISSE, C. W.; FARIAS, J. R. B.; PAVAN, W.; COSTA, L. C.; VALE, F. X. R.; REZENDE, A. A.. |
| Understanding the impact of Asian soybean rust on soybean yield is of great importance in the crop simulation model for this crop become it is possible to predict yield using different sowing dates and growth conditions. The goal of this study were to evaluate the performance of two soybean cultivars in Triângulo Mineiro/Alto Paranaíba, MG, Brazil and the effects of soybean rust on the yield of these cultivars using the CSM-CROPGRO Soybean model. Two soybean cultivars NK 7074 (early) and UFUS-Impacta (medium late), which differ in their development cycles, were growing in Uberaba city during the 2009/2010 growing season. The validation for cultivar UFUS-Impacta was conducted comparing the measured and simulated yield data considering three different sowing... |
| Tipo: Artigo em periódico indexado (ALICE) |
Palavras-chave: Ferrugem asiática da soja; Minas Gerais; Soja; Glycine max; Ferrugem; Doença fúngica; Phakopsora pachyrhizi; Models. |
| Ano: 2013 |
URL: http://www.alice.cnptia.embrapa.br/handle/doc/967189 |
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| RODRIGUES, R. de A.; JULIATTI, F. C.; PEDRINI, J. E.; FERNANDES, J. M. C.; JUSTINO, F. B.; HEINEMANN, A. B.; FRAISSE, C. W.; FARIAS, J. R. B.; PAVAN, W.; COSTA, L. C.; VALE, F. X. R.; REZENDE, A. A.. |
| Understanding the impact of Asian soybean rust on soybean yield is of great importance in the crop simulation model for this crop become it is possible to predict yield using different sowing dates and growth conditions. The goal of this study were to evaluate the performance of two soybean cultivars in Triângulo Mineiro/Alto Paranaíba, MG, Brazil and the effects of soybean rust on the yield of these cultivars using the CSM-CROPGRO Soybean model. Two soybean cultivars NK 7074 (early) and UFUS-Impacta (medium late), which differ in their development cycles, were growing in Uberaba city during the 2009/2010 growing season. The validation for cultivar UFUS-Impacta was conducted comparing the measured and simulated yield data considering three different sowing... |
| Tipo: Artigo em periódico indexado (ALICE) |
Palavras-chave: Soja; Doença de planta; Ferrugem; Doença fungica; Soybeans; Plant diseases and disorders; Rust diseases; Phakopsora pachyrhizi. |
| Ano: 2013 |
URL: http://www.alice.cnptia.embrapa.br/handle/doc/965202 |
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| RODRIGUES, R. de A.; JULIATTI, F. C.; PEDRINI, J. E.; FERNANDES, J. M. C.; JUSTINO, F. B.; HEINEMANN, A. B.; FRAISSE, C. W.; FARIAS, J. R. B.; PAVAN, W.; COSTA, L. C.; VALE, F. X. R. do; REZENDE, A. A.. |
| 2013 |
| Tipo: Artigo em periódico indexado (ALICE) |
Palavras-chave: Glycine max; Modeling; Phakopsora pachyrhizi; Soja; Modelagem. |
| Ano: 2013 |
URL: http://www.alice.cnptia.embrapa.br/handle/doc/979166 |
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| Registros recuperados: 181 | |
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