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Registro Completo |
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Biblioteca(s): |
Embrapa Algodão. |
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Data corrente: |
16/03/2016 |
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Data da última atualização: |
16/03/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RAMALHO, F. de S.; MALAQUIAS, J. B.; SANTOS, B. D. B. DOS; FERNANDES, F. S.; ZANUNCIO, J. C. |
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Afiliação: |
FRANCISCO DE SOUZA RAMALHO, CNPA; JOSE BRUNO MALAQUIAS, CNPA; BÁRBARA DAVIS DOS SANTOS BRITO, BOLSISTA DO CNPq; FRANCISCO SALES FERNANDES, USP/ESALQ; JOSÉ COLA ZANUNCIO, UFV. |
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Título: |
Assessment of the attack of Hyadaphis foeniculi (Passerini) (Hemiptera: Aphididae) on biomass, seed and oil in fennel intercroped with cotton with colored fibers. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Industrial Crops and Products, v. 77, p. 511-515, 2015. |
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Idioma: |
Inglês |
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Conteúdo: |
The fennel aphids, Hyadaphis foeniculi (Passerini) (Hemiptera: Aphididae) attack umbels and may thus,cause to failure of fruit setting and also attack during the phase of seed development. Our research investigated the severity of biomass, seed and essential oil damages related to infestation by the fennel aphid, H. foeniculi in fennel (Foeniculum vulgare Miller) plots and plots of fennel intercropped with cotton with colored fibers. A randomized complete block design was used with four treatments: (1) two rows offennel: three rows of cotton (2F: 3C) (non-treated plot), (2) two rows of fennel: three rows of cotton (2F:3C) (treated plot), (3) fennel (F) (non-treated plot), and (4) fennel (F) (treated-plot), with four replications.The average of the weight of fennel seeds from umbels in the green stage in treated plots (0.19 mg) washigher (21%) than in the non-treated plots (0.15 mg). There was no significant difference in the essential oilextracted from biomass between two cropping systems for both treated and non-treated plots. However,the amount of essential oil extracted from fennel biomass in treated plots was higher in fennel plots thanin fennel in non-treated plots. The average of the essential oil of 1000 fennel seeds from fennel-cotton intercropping system (0.17 ml) was higher (18%) than in the fennel cropping system (0.14 mg). The aphid attack reduced 29% of fennel seed weight. On the other hand, the average amount of essential oil extractedof the non-attacked seeds was two folds higher than of the attacked seeds. Therefore, our results showed that the effects of H. foeniculi on these yield components were smaller in the plots with fennel-cotton intercropping than in fennel plots. We suggest that seed composition responses to H. foeniculi injury should be an important consideration when conducting research to develop IPM systems for this fennel pest. MenosThe fennel aphids, Hyadaphis foeniculi (Passerini) (Hemiptera: Aphididae) attack umbels and may thus,cause to failure of fruit setting and also attack during the phase of seed development. Our research investigated the severity of biomass, seed and essential oil damages related to infestation by the fennel aphid, H. foeniculi in fennel (Foeniculum vulgare Miller) plots and plots of fennel intercropped with cotton with colored fibers. A randomized complete block design was used with four treatments: (1) two rows offennel: three rows of cotton (2F: 3C) (non-treated plot), (2) two rows of fennel: three rows of cotton (2F:3C) (treated plot), (3) fennel (F) (non-treated plot), and (4) fennel (F) (treated-plot), with four replications.The average of the weight of fennel seeds from umbels in the green stage in treated plots (0.19 mg) washigher (21%) than in the non-treated plots (0.15 mg). There was no significant difference in the essential oilextracted from biomass between two cropping systems for both treated and non-treated plots. However,the amount of essential oil extracted from fennel biomass in treated plots was higher in fennel plots thanin fennel in non-treated plots. The average of the essential oil of 1000 fennel seeds from fennel-cotton intercropping system (0.17 ml) was higher (18%) than in the fennel cropping system (0.14 mg). The aphid attack reduced 29% of fennel seed weight. On the other hand, the average amount of essential oil extractedof the non-attacked seeds ... Mostrar Tudo |
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Palavras-Chave: |
Hyadaphis foeniculi; Seed. |
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Thesagro: |
Algodão; Foeniculum vulgare; Hemiptera; Semente. |
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Thesaurus Nal: |
biomass; cotton. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/141270/1/Assessment-of-the-attack-of-Hyadaphis-foeniculi-....pdf
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Marc: |
LEADER 02707naa a2200265 a 4500
001 2041105
005 2016-03-16
008 2015 bl uuuu u00u1 u #d
100 1 $aRAMALHO, F. de S.
245 $aAssessment of the attack of Hyadaphis foeniculi (Passerini) (Hemiptera$bAphididae) on biomass, seed and oil in fennel intercroped with cotton with colored fibers.$h[electronic resource]
260 $c2015
520 $aThe fennel aphids, Hyadaphis foeniculi (Passerini) (Hemiptera: Aphididae) attack umbels and may thus,cause to failure of fruit setting and also attack during the phase of seed development. Our research investigated the severity of biomass, seed and essential oil damages related to infestation by the fennel aphid, H. foeniculi in fennel (Foeniculum vulgare Miller) plots and plots of fennel intercropped with cotton with colored fibers. A randomized complete block design was used with four treatments: (1) two rows offennel: three rows of cotton (2F: 3C) (non-treated plot), (2) two rows of fennel: three rows of cotton (2F:3C) (treated plot), (3) fennel (F) (non-treated plot), and (4) fennel (F) (treated-plot), with four replications.The average of the weight of fennel seeds from umbels in the green stage in treated plots (0.19 mg) washigher (21%) than in the non-treated plots (0.15 mg). There was no significant difference in the essential oilextracted from biomass between two cropping systems for both treated and non-treated plots. However,the amount of essential oil extracted from fennel biomass in treated plots was higher in fennel plots thanin fennel in non-treated plots. The average of the essential oil of 1000 fennel seeds from fennel-cotton intercropping system (0.17 ml) was higher (18%) than in the fennel cropping system (0.14 mg). The aphid attack reduced 29% of fennel seed weight. On the other hand, the average amount of essential oil extractedof the non-attacked seeds was two folds higher than of the attacked seeds. Therefore, our results showed that the effects of H. foeniculi on these yield components were smaller in the plots with fennel-cotton intercropping than in fennel plots. We suggest that seed composition responses to H. foeniculi injury should be an important consideration when conducting research to develop IPM systems for this fennel pest.
650 $abiomass
650 $acotton
650 $aAlgodão
650 $aFoeniculum vulgare
650 $aHemiptera
650 $aSemente
653 $aHyadaphis foeniculi
653 $aSeed
700 1 $aMALAQUIAS, J. B.
700 1 $aSANTOS, B. D. B. DOS
700 1 $aFERNANDES, F. S.
700 1 $aZANUNCIO, J. C.
773 $tIndustrial Crops and Products$gv. 77, p. 511-515, 2015.
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Registro original: |
Embrapa Algodão (CNPA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
12/01/2009 |
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Data da última atualização: |
01/09/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
ARVOR, D.; JONATHAN, M.; MEIRELLES, M. S. P.; DUBREUIL, V.; LECERF, R. |
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Afiliação: |
Damien Arvor, Université Rennes; Milton Jonathan, Embrapa Solos; MARGARETH GONCALVES SIMOES, CNPS; Vincent Dubreuil, Université Rennes; Rémi Lecerf, Université Rennes. |
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Título: |
Comparison of multitemporal MODIS-EVI smoothing algorithms and its contribution to crop monitoring. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
In: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2008, Boston. Proceedings... Danvers, MA: IEEE, 2008. v. 2, p. 958-961. |
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DOI: |
https://doi.org/10.1109/IGARSS.2008.4779155 |
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Idioma: |
Inglês |
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Conteúdo: |
Crop monitoring and more generally land use change detection are of primary importance in order to analyze spatio-temporal dynamics and its impacts on environment. This aspect is especially true in such a region as the State of Mato Grosso (south of the Brazilian Amazon Basin) which hosts an intensive pioneer front. Deforestation in this region as often been explained by soybean expansion in the last three decades. Remote sensing techniques may now represent an efficient and objective manner to quantify how crops expansion really represents a factor of deforestation through crop mapping studies. Due to the special characteristics of the soybean productions' farms in Mato Grosso (area varying between 1000 hectares and 40000 hectares and individual fields often bigger than 100 hectares), the Moderate Resolution Imaging Spectroradiometer (MODIS) data with a near daily temporal resolution and 250 m spatial resolution can be considered as adequate resources to crop mapping. Especially, multitemporal vegetation indices (VI) studies have been currently used to realize this task [1] [2]. In this study, 16-days compositions of EVI (MODQ13 product) data are used. However, although these data are already processed, multitemporal VI profiles still remain noisy due to cloudiness (which is extremely frequent in a tropical region such as south Amazon Basin), sensor problems, errors in atmospheric corrections or BRDF effect. Thus, many works tried to develop algorithms that could smooth the multitemporal VI profiles in order to improve further classification. The goal of this study is to compare and test different smoothing algorithms in order to select the one which satisfies better to the demand which is classifying crop classes. Those classes correspond to 6 different agricultural managements observed in Mato Grosso through an intensive field work which resulted in mapping more than 1000 individual fields. The agricultural managements above mentioned are based on combination of soy, cotton, corn, millet and sorghum crops sowed in single or double crop systems. Due to the difficulty in separating certain classes because of too similar agricultural calendars, the classification will be reduced to 3 classes : Cotton (single crop), Soy and cotton (double crop), soy (single or double crop with corn, millet or sorghum). The classification will use training data obtained in the 2005-2006 harvest and then be tested on the 2006-2007 harvest. In a first step, four smoothing techniques are presented and criticized. Those techniques are Best Index Slope Extraction (BISE) [3], Mean Value Iteration (MVI) [4], Weighted Least Squares (WLS) [5] and Savitzky-Golay Filter (SG) [6] [7]. These techniques are then implemented and visually compared on a few individual pixels so that it allows doing a first selection between the five studied techniques. The WLS and SG techniques are selected according to criteria proposed by [8]. Those criteria are: ability in eliminating frequent noises, conserving the upper values of the VI profiles and keeping the temporality of the profiles. Those selected algorithms are then programmed and applied to the MODIS/TERRA EVI data (16-days composition periods). Tests of separability are realized based on the Jeffries-Matusita distance in order to see if the algorithms managed in improving the potential of differentiation between the classes. Those tests are realized on the overall profile (comprising 23 MODIS images) as well as on each MODIS sub-period of the profile [1]. This last test is a double interest process because it allows comparing the smoothing techniques and also enables to select a set of images which carries more information on the separability between the classes. Those selected dates can then be used to realize a supervised classification. Here three different classifiers are tested to evaluate if the smoothing techniques as a particular effect on the classification depending on the classifiers used. Those classifiers are Maximum Likelihood classifier, Spectral Angle Mapper (SAM) classifier and CHAID Improved Decision tree. It appears through the separability tests on the overall process that the smoothed profiles don't improve efficiently the potential of discrimination between classes when compared with the original data. However, the same tests realized on the MODIS sub-periods show better results obtained with the smoothed algorithms. The results of the classification confirm this first analyze. The Kappa coefficients are always better with the smoothing techniques and the results obtained with the WLS and SG smoothed profiles are nearly equal. However, the results are different depending on the classifier used. The impact of the smoothing algorithms is much better while using the decision tree model. Indeed, it allows a gain of 0.1 in the Kappa coefficient. While using the Maximum Likelihood end SAM models, the gain remains positive but is much lower (Kappa improved of 0.02 only). Thus, this work's aim is to prove the utility in smoothing the VI profiles in order to improve the final results. However, the choice of the smoothing algorithm has to be made considering the original data used and the classifier models used. In that case the Savitzky-Golay filter gave the better results. MenosCrop monitoring and more generally land use change detection are of primary importance in order to analyze spatio-temporal dynamics and its impacts on environment. This aspect is especially true in such a region as the State of Mato Grosso (south of the Brazilian Amazon Basin) which hosts an intensive pioneer front. Deforestation in this region as often been explained by soybean expansion in the last three decades. Remote sensing techniques may now represent an efficient and objective manner to quantify how crops expansion really represents a factor of deforestation through crop mapping studies. Due to the special characteristics of the soybean productions' farms in Mato Grosso (area varying between 1000 hectares and 40000 hectares and individual fields often bigger than 100 hectares), the Moderate Resolution Imaging Spectroradiometer (MODIS) data with a near daily temporal resolution and 250 m spatial resolution can be considered as adequate resources to crop mapping. Especially, multitemporal vegetation indices (VI) studies have been currently used to realize this task [1] [2]. In this study, 16-days compositions of EVI (MODQ13 product) data are used. However, although these data are already processed, multitemporal VI profiles still remain noisy due to cloudiness (which is extremely frequent in a tropical region such as south Amazon Basin), sensor problems, errors in atmospheric corrections or BRDF effect. Thus, many works tried to develop algorithms that could smooth the... Mostrar Tudo |
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Palavras-Chave: |
Algoritmo; Classes de culturas. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 06008nam a2200193 a 4500
001 1334899
005 2020-09-01
008 2008 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1109/IGARSS.2008.4779155$2DOI
100 1 $aARVOR, D.
245 $aComparison of multitemporal MODIS-EVI smoothing algorithms and its contribution to crop monitoring.$h[electronic resource]
260 $aIn: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2008, Boston. Proceedings... Danvers, MA: IEEE, 2008. v. 2, p. 958-961.$c2008
520 $aCrop monitoring and more generally land use change detection are of primary importance in order to analyze spatio-temporal dynamics and its impacts on environment. This aspect is especially true in such a region as the State of Mato Grosso (south of the Brazilian Amazon Basin) which hosts an intensive pioneer front. Deforestation in this region as often been explained by soybean expansion in the last three decades. Remote sensing techniques may now represent an efficient and objective manner to quantify how crops expansion really represents a factor of deforestation through crop mapping studies. Due to the special characteristics of the soybean productions' farms in Mato Grosso (area varying between 1000 hectares and 40000 hectares and individual fields often bigger than 100 hectares), the Moderate Resolution Imaging Spectroradiometer (MODIS) data with a near daily temporal resolution and 250 m spatial resolution can be considered as adequate resources to crop mapping. Especially, multitemporal vegetation indices (VI) studies have been currently used to realize this task [1] [2]. In this study, 16-days compositions of EVI (MODQ13 product) data are used. However, although these data are already processed, multitemporal VI profiles still remain noisy due to cloudiness (which is extremely frequent in a tropical region such as south Amazon Basin), sensor problems, errors in atmospheric corrections or BRDF effect. Thus, many works tried to develop algorithms that could smooth the multitemporal VI profiles in order to improve further classification. The goal of this study is to compare and test different smoothing algorithms in order to select the one which satisfies better to the demand which is classifying crop classes. Those classes correspond to 6 different agricultural managements observed in Mato Grosso through an intensive field work which resulted in mapping more than 1000 individual fields. The agricultural managements above mentioned are based on combination of soy, cotton, corn, millet and sorghum crops sowed in single or double crop systems. Due to the difficulty in separating certain classes because of too similar agricultural calendars, the classification will be reduced to 3 classes : Cotton (single crop), Soy and cotton (double crop), soy (single or double crop with corn, millet or sorghum). The classification will use training data obtained in the 2005-2006 harvest and then be tested on the 2006-2007 harvest. In a first step, four smoothing techniques are presented and criticized. Those techniques are Best Index Slope Extraction (BISE) [3], Mean Value Iteration (MVI) [4], Weighted Least Squares (WLS) [5] and Savitzky-Golay Filter (SG) [6] [7]. These techniques are then implemented and visually compared on a few individual pixels so that it allows doing a first selection between the five studied techniques. The WLS and SG techniques are selected according to criteria proposed by [8]. Those criteria are: ability in eliminating frequent noises, conserving the upper values of the VI profiles and keeping the temporality of the profiles. Those selected algorithms are then programmed and applied to the MODIS/TERRA EVI data (16-days composition periods). Tests of separability are realized based on the Jeffries-Matusita distance in order to see if the algorithms managed in improving the potential of differentiation between the classes. Those tests are realized on the overall profile (comprising 23 MODIS images) as well as on each MODIS sub-period of the profile [1]. This last test is a double interest process because it allows comparing the smoothing techniques and also enables to select a set of images which carries more information on the separability between the classes. Those selected dates can then be used to realize a supervised classification. Here three different classifiers are tested to evaluate if the smoothing techniques as a particular effect on the classification depending on the classifiers used. Those classifiers are Maximum Likelihood classifier, Spectral Angle Mapper (SAM) classifier and CHAID Improved Decision tree. It appears through the separability tests on the overall process that the smoothed profiles don't improve efficiently the potential of discrimination between classes when compared with the original data. However, the same tests realized on the MODIS sub-periods show better results obtained with the smoothed algorithms. The results of the classification confirm this first analyze. The Kappa coefficients are always better with the smoothing techniques and the results obtained with the WLS and SG smoothed profiles are nearly equal. However, the results are different depending on the classifier used. The impact of the smoothing algorithms is much better while using the decision tree model. Indeed, it allows a gain of 0.1 in the Kappa coefficient. While using the Maximum Likelihood end SAM models, the gain remains positive but is much lower (Kappa improved of 0.02 only). Thus, this work's aim is to prove the utility in smoothing the VI profiles in order to improve the final results. However, the choice of the smoothing algorithm has to be made considering the original data used and the classifier models used. In that case the Savitzky-Golay filter gave the better results.
653 $aAlgoritmo
653 $aClasses de culturas
700 1 $aJONATHAN, M.
700 1 $aMEIRELLES, M. S. P.
700 1 $aDUBREUIL, V.
700 1 $aLECERF, R.
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