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 | Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
26/01/2006 |
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Data da última atualização: |
28/05/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ZANDONADI, R. S.; PINTO, F. A. C.; SENA JUNIOR, D. G; QUEIROZ, D. M.; VIANA, P. A.; MANTOVANI, E. C. |
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Afiliação: |
PAULO AFONSO VIANA, CNPMS; EVANDRO CHARTUNI MANTOVANI, CNPMS. |
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Título: |
Identification of lesser cornstalk borer-attacked maize plants using infrared images |
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Ano de publicação: |
2005 |
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Fonte/Imprenta: |
Biosystems Engineering, London, v. 91, n. 4, p. 433-439, 2005. |
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DOI: |
10.1016/j.biosystemseng.2005.05.002 |
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Idioma: |
Inglês |
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Conteúdo: |
The lesser cornstalk borer (Elasmopalpus lignosellus) is a pest that damages the maize plants in the initial growing phase causing stand reduction that can result in yield decrease. The machine vision system could be an alternative for the development of site-specific management of this pest. The objective of this work was to develop and evaluate a machine vision algorithm for identifying maize plants attacked by lesser cornstalk borer based on colour infrared images. To develop the algorithm, images of 40 maize plants were taken on different days after emergency. The plants were grown in pots, and 25 of them were infested with lesser cornstalk borer larvae and 15 were left healthy. The algorithm had three stages: leaf identification, image block classification, and plant classification. In the leaf identification stage, the plant leaves were segmented by thresholding the normalised difference vegetation index image. For the block classification stage, different neural network architectures and block sizes were tested for identification of non-attacked and attacked plant image blocks. Then, in the plant classification stage, discriminating functions were used to classify the scene as either a healthy or an attacked plant. The algorithm performance was compared with the performance of four human experts by using the Kappa coefficient of agreement. The largest size of image block, 9 by 9 pixels, was chosen because of its less computational exigency and because its performance was not significantly different from the other tested block sizes. The algorithm performance was significantly better than just one human expert. The Kappa coefficients for the algorithm and the three best human experts were 63.0 and 49.7%, respectively. The overall accuracy of the algorithm and the best three human experts was 81.6 and 73.4%, respectively. (c) 2005 Silsoe Research Institute. All rights reserved Published by Elsevier Ltd. MenosThe lesser cornstalk borer (Elasmopalpus lignosellus) is a pest that damages the maize plants in the initial growing phase causing stand reduction that can result in yield decrease. The machine vision system could be an alternative for the development of site-specific management of this pest. The objective of this work was to develop and evaluate a machine vision algorithm for identifying maize plants attacked by lesser cornstalk borer based on colour infrared images. To develop the algorithm, images of 40 maize plants were taken on different days after emergency. The plants were grown in pots, and 25 of them were infested with lesser cornstalk borer larvae and 15 were left healthy. The algorithm had three stages: leaf identification, image block classification, and plant classification. In the leaf identification stage, the plant leaves were segmented by thresholding the normalised difference vegetation index image. For the block classification stage, different neural network architectures and block sizes were tested for identification of non-attacked and attacked plant image blocks. Then, in the plant classification stage, discriminating functions were used to classify the scene as either a healthy or an attacked plant. The algorithm performance was compared with the performance of four human experts by using the Kappa coefficient of agreement. The largest size of image block, 9 by 9 pixels, was chosen because of its less computational exigency and because its performance ... Mostrar Tudo |
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Thesagro: |
Milho; Praga de planta; Zea mays. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02632naa a2200229 a 4500
001 1489194
005 2018-05-28
008 2005 bl uuuu u00u1 u #d
024 7 $a10.1016/j.biosystemseng.2005.05.002$2DOI
100 1 $aZANDONADI, R. S.
245 $aIdentification of lesser cornstalk borer-attacked maize plants using infrared images$h[electronic resource]
260 $c2005
520 $aThe lesser cornstalk borer (Elasmopalpus lignosellus) is a pest that damages the maize plants in the initial growing phase causing stand reduction that can result in yield decrease. The machine vision system could be an alternative for the development of site-specific management of this pest. The objective of this work was to develop and evaluate a machine vision algorithm for identifying maize plants attacked by lesser cornstalk borer based on colour infrared images. To develop the algorithm, images of 40 maize plants were taken on different days after emergency. The plants were grown in pots, and 25 of them were infested with lesser cornstalk borer larvae and 15 were left healthy. The algorithm had three stages: leaf identification, image block classification, and plant classification. In the leaf identification stage, the plant leaves were segmented by thresholding the normalised difference vegetation index image. For the block classification stage, different neural network architectures and block sizes were tested for identification of non-attacked and attacked plant image blocks. Then, in the plant classification stage, discriminating functions were used to classify the scene as either a healthy or an attacked plant. The algorithm performance was compared with the performance of four human experts by using the Kappa coefficient of agreement. The largest size of image block, 9 by 9 pixels, was chosen because of its less computational exigency and because its performance was not significantly different from the other tested block sizes. The algorithm performance was significantly better than just one human expert. The Kappa coefficients for the algorithm and the three best human experts were 63.0 and 49.7%, respectively. The overall accuracy of the algorithm and the best three human experts was 81.6 and 73.4%, respectively. (c) 2005 Silsoe Research Institute. All rights reserved Published by Elsevier Ltd.
650 $aMilho
650 $aPraga de planta
650 $aZea mays
700 1 $aPINTO, F. A. C.
700 1 $aSENA JUNIOR, D. G
700 1 $aQUEIROZ, D. M.
700 1 $aVIANA, P. A.
700 1 $aMANTOVANI, E. C.
773 $tBiosystems Engineering, London$gv. 91, n. 4, p. 433-439, 2005.
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Embrapa Milho e Sorgo (CNPMS) |
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Registro Completo
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
08/11/2023 |
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Data da última atualização: |
16/11/2023 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
COSTA, P. R. da; RODRIGUES, J. N. D.; MONTEIRO NETTO, M.; RANGEL, P. S. C.; OLIVEIRA, M. E. F.; FONSECA, J. F. da. |
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Afiliação: |
PAULO ROBERTO DA COSTA; JULIANA NASCIMENTO DUARTE RODRIGUES; MARINA MONTEIRO NETTO; PAULO SERGIO CERQUEIRA RANGEL; MARIA EMÍLIA FRANCO OLIVEIRA; JEFERSON FERREIRA DA FONSECA, CNPC. |
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Título: |
Inseminação artificial em tempo fixo (IATF) em cabras leiteiras cíclicas com estro sincronizado com cloprostenol associado à gonadotrofina coriônica equina (eCG). |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
In: ENCONTRO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA CAPRINOS E OVINOS, 11., 2022, Sobral. Anais... Sobral: Embrapa Caprinos e Ovinos, 2023. p. 36-37. (Embrapa Caprinos e Ovinos. Eventos técnicos & científicos). |
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Idioma: |
Português |
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Conteúdo: |
A sincronização de estro em cabras cíclicas pode ser promovida satisfatoriamente com o uso de duas doses de cloprostenol intervaladas de 7,5 dias. A hipótese deste estudo é que associar uma dose de gonadotrofina coriônica equina (eCG) poderia promover maior sincronia estral e também sincronia ovulatória em função de sua atividade no crescimento folicular ovariano, o que poderia possibilitar a aplicação da inseminação artificial em tempo fixo (IATF) em cabras cíclicas submetidas à sincronização de estro com duas doses de cloprostenol. Assim, o objetivo do presente estudo foi avaliar a eficiência do protocolo hormonal de IATF proposto sobre a taxa de gestação, bem como caracterizar a dinâmica folicular das fêmeas utilizadas. |
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Palavras-Chave: |
ECG; IATF; Sincronização de estro. |
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Thesagro: |
Cabra Leiteira; Caprino; Gonadotrofina; Inseminação Artificial; Reprodução. |
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Thesaurus NAL: |
Artificial insemination; Chorionic gonadotropins; Cloprostenol; Dairy goats; Reproduction. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1157976/1/CNPC-2023-Inseminacao-artificial.pdf
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Marc: |
LEADER 01943nam a2200325 a 4500
001 2157976
005 2023-11-16
008 2023 bl uuuu u00u1 u #d
100 1 $aCOSTA, P. R. da
245 $aInseminação artificial em tempo fixo (IATF) em cabras leiteiras cíclicas com estro sincronizado com cloprostenol associado à gonadotrofina coriônica equina (eCG).$h[electronic resource]
260 $aIn: ENCONTRO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA CAPRINOS E OVINOS, 11., 2022, Sobral. Anais... Sobral: Embrapa Caprinos e Ovinos, 2023. p. 36-37. (Embrapa Caprinos e Ovinos. Eventos técnicos & científicos).$c2023
520 $aA sincronização de estro em cabras cíclicas pode ser promovida satisfatoriamente com o uso de duas doses de cloprostenol intervaladas de 7,5 dias. A hipótese deste estudo é que associar uma dose de gonadotrofina coriônica equina (eCG) poderia promover maior sincronia estral e também sincronia ovulatória em função de sua atividade no crescimento folicular ovariano, o que poderia possibilitar a aplicação da inseminação artificial em tempo fixo (IATF) em cabras cíclicas submetidas à sincronização de estro com duas doses de cloprostenol. Assim, o objetivo do presente estudo foi avaliar a eficiência do protocolo hormonal de IATF proposto sobre a taxa de gestação, bem como caracterizar a dinâmica folicular das fêmeas utilizadas.
650 $aArtificial insemination
650 $aChorionic gonadotropins
650 $aCloprostenol
650 $aDairy goats
650 $aReproduction
650 $aCabra Leiteira
650 $aCaprino
650 $aGonadotrofina
650 $aInseminação Artificial
650 $aReprodução
653 $aECG
653 $aIATF
653 $aSincronização de estro
700 1 $aRODRIGUES, J. N. D.
700 1 $aMONTEIRO NETTO, M.
700 1 $aRANGEL, P. S. C.
700 1 $aOLIVEIRA, M. E. F.
700 1 $aFONSECA, J. F. da
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