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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Uva e Vinho. |
Data corrente: |
02/05/2022 |
Data da última atualização: |
02/05/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
SPERANZA, E. A.; GREGO, C. R.; GEBLER, L. |
Afiliação: |
EDUARDO ANTONIO SPERANZA, CNPTIA; CELIA REGINA GREGO, CNPTIA; LUCIANO GEBLER, CNPUV. |
Título: |
Analysis of pest incidence on apple trees validated by unsupervised machine learning algorithms. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Engenharia na Agricultura, v. 30, p. 63-74, 2022. |
DOI: |
https://doi.org/10.13083/reveng.v30i1.12919 |
Idioma: |
Português |
Conteúdo: |
ABSTRACT. Integrated pest control is a practice commonly used in apple orchards in southern Brazil. This type of management is an important tool to help improve quality and increase yields. This study aimed to identify areas with higher and lower incidence of aerial pests in a commercial apple orchard, regarding data collected from three different crops using georeferenced traps. Geostatistical analyses were performed, based on the modeling of semivariograms and spatial interpolation using the kriging method; and clustering, based on specific unsupervised machine learning algorithms for count data. The algorithms were selected from measures of stability, connectivity and homogeneity, seeking to identify areas with different incidence of pests that could help farmer decision making regarding insect population control using pesticides. The geostatistical analysis verified the presence of individual pest infestations in specific sites of the study area. Additionally, the analysis using machine learning allowed the identification of areas with incidence above the average for all analyzed pests, especially in the central area of the map. The process of evaluation described in this study can serve as an aid for risk analysis, promoting management benefits and reducing cost in the farms. |
Palavras-Chave: |
Análise geoestatística; Aprendizado de Máquina Não-Supervisionado; Controle de pragas; Geoestatística; Maçãs; Manejo de Pragas; Pomares; Unsupervised Machine Learning. |
Thesaurus Nal: |
Apples; Geostatistics; Orchards; Pest management. |
Categoria do assunto: |
-- F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1142552/1/AP-Analysis-pest-incidence-2022.pdf
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Marc: |
LEADER 02221naa a2200301 a 4500 001 2142552 005 2022-05-02 008 2022 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.13083/reveng.v30i1.12919$2DOI 100 1 $aSPERANZA, E. A. 245 $aAnalysis of pest incidence on apple trees validated by unsupervised machine learning algorithms.$h[electronic resource] 260 $c2022 520 $aABSTRACT. Integrated pest control is a practice commonly used in apple orchards in southern Brazil. This type of management is an important tool to help improve quality and increase yields. This study aimed to identify areas with higher and lower incidence of aerial pests in a commercial apple orchard, regarding data collected from three different crops using georeferenced traps. Geostatistical analyses were performed, based on the modeling of semivariograms and spatial interpolation using the kriging method; and clustering, based on specific unsupervised machine learning algorithms for count data. The algorithms were selected from measures of stability, connectivity and homogeneity, seeking to identify areas with different incidence of pests that could help farmer decision making regarding insect population control using pesticides. The geostatistical analysis verified the presence of individual pest infestations in specific sites of the study area. Additionally, the analysis using machine learning allowed the identification of areas with incidence above the average for all analyzed pests, especially in the central area of the map. The process of evaluation described in this study can serve as an aid for risk analysis, promoting management benefits and reducing cost in the farms. 650 $aApples 650 $aGeostatistics 650 $aOrchards 650 $aPest management 653 $aAnálise geoestatística 653 $aAprendizado de Máquina Não-Supervisionado 653 $aControle de pragas 653 $aGeoestatística 653 $aMaçãs 653 $aManejo de Pragas 653 $aPomares 653 $aUnsupervised Machine Learning 700 1 $aGREGO, C. R. 700 1 $aGEBLER, L. 773 $tEngenharia na Agricultura$gv. 30, p. 63-74, 2022.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Registro Completo
Biblioteca(s): |
Embrapa Soja. |
Data corrente: |
20/11/2013 |
Data da última atualização: |
21/11/2013 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
VOGT, G. A.; BALBINOT JUNIOR, A. A.; TREZZI, M. M.; BACKES, R. L.; NICKNICH, W. |
Afiliação: |
GILCIMAR ADRIANO VOGT, Epagri; ALVADI ANTONIO BALBINOT JUNIOR, CNPSO; MICHELANGELO MUZELL TREZZI, UTFPR; ROGÉRIO LUIZ BACKES, Epagri; WALDIR NICKNICH, Epagri. |
Título: |
Competitive ability of black Common Bean genotypes with weeds. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
Ciência e Agrotecnologia, Lavras, v. 37, n. 5, p. 397-403, set./out. 2013. |
ISSN: |
1413-7054 |
Idioma: |
Inglês |
Conteúdo: |
ABSTRACT: The morpho-physiologic characteristics of common bean plants can affect their competitive ability with weeds. The objective of this work was to evaluate the competitive ability of black bean genotypes with weeds. An experiment was carried out in the 2010/ 11 cropping season in Papanduva, SC, southern Brazil, in order to verify the variability of some plant characteristics among genotypes of common bean. The randomized block design was used, with four replications. Seven cultivars underwent the treatments: BRS Campeiro, CHP 01-238, CHP 01-239, Diamante Negro, BRS Supremo, BRS Valente, IPR Uirapuru, FTS Soberano, IPR Graúna, IPR Tiziu e IAC Diplomata. At 6, 14, 18, 25 and 32 days after emergence (DAE) were evaluated plant height, ground cover by common bean plants, dry biomass of stems and leaves, and grain yield. In the 2011/12 cropping season the same cultivars were grown in the presence or absence of weeds, adopting similar methodology to the 2010/11. The losses of grain yield in black common bean genotypes due to weed interference ranged from 30.8% to 54.9%. There was a positive correlation between yield reduction promoted by the weed infestation and dry biomass produced by the weeds. In addition, there was a positive correlation between percentage of yield reduction due to the weed infestation and grain yield without weed interference. The characteristics evaluated did not estimate the competitive ability of black common bean genotypes with weeds. RESUMO: As características morfofisiológicas de plantas de feijão podem afetar a habilidade competitiva com plantas daninhas. Neste trabalho, objetivou-se avaliar a competitividade de genótipos de feijão do grupo ?Preto? com plantas daninhas. Inicialmente, foi conduzido um experimento na safra 2010/11 em Papanduva, SC, para verificar a variabilidade entre genótipos de feijão-preto quanto a algumas características da planta. Foi utilizado o delineamento experimental de blocos casualizados, com quatro repetições. Os tratamentos foram constituídos pelos seguintes genótipos: BRS Campeiro, CHP 01-238, CHP 01-239, Diamante Negro, BRS Supremo, BRS Valente, IPR Uirapuru, FTS Soberano, IPR Graúna, IPR Tiziu e IAC Diplomata. Aos 6, 14, 18, 25 e 32 dias após a emergência (DAE) foram determinadas altura das plantas, cobertura do solo pelas plantas de feijão, massa seca de hastes e folhas e, ao final do ciclo, a produtividade dos grãos. Na safra 2011/12, os mesmos genótipos foram avaliados na presença ou ausência de plantas daninhas, adotando metodologia similar à da safra 2010/11. As perdas de produtividade de grãos dos genótipos de feijão avaliados, em razão da interferência de plantas daninhas, variaram de 30,8 a 54,9%. Houve correlação positiva entre porcentagem de redução de produtividade em razão da infestação e a massa seca acumulada pelas plantas daninhas. Também houve correlação positiva entre porcentagem de redução de produtividade em função da interferência de plantas daninhas e a produtividade sem infestação. Não foi possível identificar características de plantas que afetam significativamente a habilidade dos genótipos de feijão em competir com plantas daninhas. MenosABSTRACT: The morpho-physiologic characteristics of common bean plants can affect their competitive ability with weeds. The objective of this work was to evaluate the competitive ability of black bean genotypes with weeds. An experiment was carried out in the 2010/ 11 cropping season in Papanduva, SC, southern Brazil, in order to verify the variability of some plant characteristics among genotypes of common bean. The randomized block design was used, with four replications. Seven cultivars underwent the treatments: BRS Campeiro, CHP 01-238, CHP 01-239, Diamante Negro, BRS Supremo, BRS Valente, IPR Uirapuru, FTS Soberano, IPR Graúna, IPR Tiziu e IAC Diplomata. At 6, 14, 18, 25 and 32 days after emergence (DAE) were evaluated plant height, ground cover by common bean plants, dry biomass of stems and leaves, and grain yield. In the 2011/12 cropping season the same cultivars were grown in the presence or absence of weeds, adopting similar methodology to the 2010/11. The losses of grain yield in black common bean genotypes due to weed interference ranged from 30.8% to 54.9%. There was a positive correlation between yield reduction promoted by the weed infestation and dry biomass produced by the weeds. In addition, there was a positive correlation between percentage of yield reduction due to the weed infestation and grain yield without weed interference. The characteristics evaluated did not estimate the competitive ability of black common bean genotypes with weeds. RESUMO: As car... Mostrar Tudo |
Thesagro: |
Feijão. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/92788/1/competitive.balbinot.2013.pdf
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Marc: |
LEADER 03784naa a2200193 a 4500 001 1971613 005 2013-11-21 008 2013 bl uuuu u00u1 u #d 022 $a1413-7054 100 1 $aVOGT, G. A. 245 $aCompetitive ability of black Common Bean genotypes with weeds.$h[electronic resource] 260 $c2013 520 $aABSTRACT: The morpho-physiologic characteristics of common bean plants can affect their competitive ability with weeds. The objective of this work was to evaluate the competitive ability of black bean genotypes with weeds. An experiment was carried out in the 2010/ 11 cropping season in Papanduva, SC, southern Brazil, in order to verify the variability of some plant characteristics among genotypes of common bean. The randomized block design was used, with four replications. Seven cultivars underwent the treatments: BRS Campeiro, CHP 01-238, CHP 01-239, Diamante Negro, BRS Supremo, BRS Valente, IPR Uirapuru, FTS Soberano, IPR Graúna, IPR Tiziu e IAC Diplomata. At 6, 14, 18, 25 and 32 days after emergence (DAE) were evaluated plant height, ground cover by common bean plants, dry biomass of stems and leaves, and grain yield. In the 2011/12 cropping season the same cultivars were grown in the presence or absence of weeds, adopting similar methodology to the 2010/11. The losses of grain yield in black common bean genotypes due to weed interference ranged from 30.8% to 54.9%. There was a positive correlation between yield reduction promoted by the weed infestation and dry biomass produced by the weeds. In addition, there was a positive correlation between percentage of yield reduction due to the weed infestation and grain yield without weed interference. The characteristics evaluated did not estimate the competitive ability of black common bean genotypes with weeds. RESUMO: As características morfofisiológicas de plantas de feijão podem afetar a habilidade competitiva com plantas daninhas. Neste trabalho, objetivou-se avaliar a competitividade de genótipos de feijão do grupo ?Preto? com plantas daninhas. Inicialmente, foi conduzido um experimento na safra 2010/11 em Papanduva, SC, para verificar a variabilidade entre genótipos de feijão-preto quanto a algumas características da planta. Foi utilizado o delineamento experimental de blocos casualizados, com quatro repetições. Os tratamentos foram constituídos pelos seguintes genótipos: BRS Campeiro, CHP 01-238, CHP 01-239, Diamante Negro, BRS Supremo, BRS Valente, IPR Uirapuru, FTS Soberano, IPR Graúna, IPR Tiziu e IAC Diplomata. Aos 6, 14, 18, 25 e 32 dias após a emergência (DAE) foram determinadas altura das plantas, cobertura do solo pelas plantas de feijão, massa seca de hastes e folhas e, ao final do ciclo, a produtividade dos grãos. Na safra 2011/12, os mesmos genótipos foram avaliados na presença ou ausência de plantas daninhas, adotando metodologia similar à da safra 2010/11. As perdas de produtividade de grãos dos genótipos de feijão avaliados, em razão da interferência de plantas daninhas, variaram de 30,8 a 54,9%. Houve correlação positiva entre porcentagem de redução de produtividade em razão da infestação e a massa seca acumulada pelas plantas daninhas. Também houve correlação positiva entre porcentagem de redução de produtividade em função da interferência de plantas daninhas e a produtividade sem infestação. Não foi possível identificar características de plantas que afetam significativamente a habilidade dos genótipos de feijão em competir com plantas daninhas. 650 $aFeijão 700 1 $aBALBINOT JUNIOR, A. A. 700 1 $aTREZZI, M. M. 700 1 $aBACKES, R. L. 700 1 $aNICKNICH, W. 773 $tCiência e Agrotecnologia, Lavras$gv. 37, n. 5, p. 397-403, set./out. 2013.
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