Determination of macaw fruit harvest period by biospeckle laser technique
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/36932 |
Resumo: | Macaw palm has been stood out as a raw material for the production of bioenergy, because it has high productivity of oil and less emission of polluting waste during combustion, meeting the worldwide demand for sustainable energy sources. The aims of this research were the evaluation of response of the biologic activity measured by the optical technique of the biospeckle laser applied to macaw palm fruits at different maturity weeks and develop a classifier in function of biologic activity to determine the harvest period related with oil content in the fruits. To perform the experiment, 10 weeks fruits different maturity stages were evaluated. The biospeckle laser images were obtained by illuminating the epicarp of each fruit. The biological activity was quantified by absolute value of difference algorithm applied to biospeckle images. A neural network was developed to classify the fruits which were closer to harvest in function of biologic activity. Biologic activity showed a significant linear ratio (R2 = 0.913) with the maturation of fruits. Classification results have shown that fruits from 59th week after flowering are ideal for harvest and present the highest oil levels. |
id |
UFLA_addf54733563238c30cfd325b180a3da |
---|---|
oai_identifier_str |
oai:localhost:1/36932 |
network_acronym_str |
UFLA |
network_name_str |
Repositório Institucional da UFLA |
repository_id_str |
|
spelling |
Determination of macaw fruit harvest period by biospeckle laser techniqueBiologic activityOptical sensorsMaturityOil contentMacaw palm has been stood out as a raw material for the production of bioenergy, because it has high productivity of oil and less emission of polluting waste during combustion, meeting the worldwide demand for sustainable energy sources. The aims of this research were the evaluation of response of the biologic activity measured by the optical technique of the biospeckle laser applied to macaw palm fruits at different maturity weeks and develop a classifier in function of biologic activity to determine the harvest period related with oil content in the fruits. To perform the experiment, 10 weeks fruits different maturity stages were evaluated. The biospeckle laser images were obtained by illuminating the epicarp of each fruit. The biological activity was quantified by absolute value of difference algorithm applied to biospeckle images. A neural network was developed to classify the fruits which were closer to harvest in function of biologic activity. Biologic activity showed a significant linear ratio (R2 = 0.913) with the maturation of fruits. Classification results have shown that fruits from 59th week after flowering are ideal for harvest and present the highest oil levels.Academic Journals (AJ)2019-09-25T20:52:54Z2019-09-25T20:52:54Z2017-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfCOSTA, A. G. et al. Determination of macaw fruit harvest period by biospeckle laser technique. African Journal of Agricultural Research, [S.l.], v. 12, n. 9, p. 674-683, Mar. 2017. DOI: 10.5897/AJAR2016.12039.http://repositorio.ufla.br/jspui/handle/1/36932African Journal of Agricultural Research (AJAR)reponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessCosta, Anderson GomidePinto, Francisco de Assis de CarvalhoBraga Júnior, Roberto AlvesMotoike, Sérgio YoshimitsuGracia, Luís Manuel Navaseng2023-05-02T18:48:04Zoai:localhost:1/36932Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-02T18:48:04Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Determination of macaw fruit harvest period by biospeckle laser technique |
title |
Determination of macaw fruit harvest period by biospeckle laser technique |
spellingShingle |
Determination of macaw fruit harvest period by biospeckle laser technique Costa, Anderson Gomide Biologic activity Optical sensors Maturity Oil content |
title_short |
Determination of macaw fruit harvest period by biospeckle laser technique |
title_full |
Determination of macaw fruit harvest period by biospeckle laser technique |
title_fullStr |
Determination of macaw fruit harvest period by biospeckle laser technique |
title_full_unstemmed |
Determination of macaw fruit harvest period by biospeckle laser technique |
title_sort |
Determination of macaw fruit harvest period by biospeckle laser technique |
author |
Costa, Anderson Gomide |
author_facet |
Costa, Anderson Gomide Pinto, Francisco de Assis de Carvalho Braga Júnior, Roberto Alves Motoike, Sérgio Yoshimitsu Gracia, Luís Manuel Navas |
author_role |
author |
author2 |
Pinto, Francisco de Assis de Carvalho Braga Júnior, Roberto Alves Motoike, Sérgio Yoshimitsu Gracia, Luís Manuel Navas |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Costa, Anderson Gomide Pinto, Francisco de Assis de Carvalho Braga Júnior, Roberto Alves Motoike, Sérgio Yoshimitsu Gracia, Luís Manuel Navas |
dc.subject.por.fl_str_mv |
Biologic activity Optical sensors Maturity Oil content |
topic |
Biologic activity Optical sensors Maturity Oil content |
description |
Macaw palm has been stood out as a raw material for the production of bioenergy, because it has high productivity of oil and less emission of polluting waste during combustion, meeting the worldwide demand for sustainable energy sources. The aims of this research were the evaluation of response of the biologic activity measured by the optical technique of the biospeckle laser applied to macaw palm fruits at different maturity weeks and develop a classifier in function of biologic activity to determine the harvest period related with oil content in the fruits. To perform the experiment, 10 weeks fruits different maturity stages were evaluated. The biospeckle laser images were obtained by illuminating the epicarp of each fruit. The biological activity was quantified by absolute value of difference algorithm applied to biospeckle images. A neural network was developed to classify the fruits which were closer to harvest in function of biologic activity. Biologic activity showed a significant linear ratio (R2 = 0.913) with the maturation of fruits. Classification results have shown that fruits from 59th week after flowering are ideal for harvest and present the highest oil levels. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-03 2019-09-25T20:52:54Z 2019-09-25T20:52:54Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
COSTA, A. G. et al. Determination of macaw fruit harvest period by biospeckle laser technique. African Journal of Agricultural Research, [S.l.], v. 12, n. 9, p. 674-683, Mar. 2017. DOI: 10.5897/AJAR2016.12039. http://repositorio.ufla.br/jspui/handle/1/36932 |
identifier_str_mv |
COSTA, A. G. et al. Determination of macaw fruit harvest period by biospeckle laser technique. African Journal of Agricultural Research, [S.l.], v. 12, n. 9, p. 674-683, Mar. 2017. DOI: 10.5897/AJAR2016.12039. |
url |
http://repositorio.ufla.br/jspui/handle/1/36932 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Academic Journals (AJ) |
publisher.none.fl_str_mv |
Academic Journals (AJ) |
dc.source.none.fl_str_mv |
African Journal of Agricultural Research (AJAR) reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1807835189039071232 |