UAV Multispectral Data: A Reliable Approach for Managing Phosphate-Solubilizing Bacteria in Common Bean

Detalhes bibliográficos
Autor(a) principal: de Souza, Antonia Erica Santos [UNESP]
Data de Publicação: 2022
Outros Autores: Barbosa Júnior, Marcelo Rodrigues [UNESP], de Almeida Moreira, Bruno Rafael [UNESP], da Silva, Rouverson Pereira [UNESP], Lemos, Leandro Borges [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3390/agronomy12102284
http://hdl.handle.net/11449/249297
Resumo: Remote sensing can offer stakeholders opportunities to make precise and accurate decisions on agricultural activities. For instance, farmers can exploit aircraft systems to acquire survey-level, high-resolution imagery data for crop and soil management. Therefore, the objective of this study was to analyze whether an unmanned aerial vehicle (UAV) allows for the assessment and monitoring of biofertilization of the common bean upon vegetation indices (VIs). The biological treatment of the legume crop included its inoculation with phosphate-solubilizing bacteria (PSB), namely Bacillus subtilis and B. megaterium. Indicators of photosynthetic performance, such as chlorophylls (a and b) and carotenoids, were measured from actively growing leaves to determine effectiveness. In addition, images were acquired in the field, both spatially and temporally, to establish functional relationships between biometric and computational features. Microorganisms manifested as growth-promoting agents to the crop as they significantly increased its quantities of light-harvesting pigments. VIs allowed for predicting their impact on photosynthetic performance, making them on-site markers of PSB. Therefore, this research can provide insights into the remote, non-destructive mapping of spectral changes in the common bean upon the application of PSB. Imagery data from UAV would enable producers to generate information on the crop to intervene in the field at the right time and place for improved utilization of biofertilizers.
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spelling UAV Multispectral Data: A Reliable Approach for Managing Phosphate-Solubilizing Bacteria in Common Beancommon beanphosphate-solubilizing bacteriaphotosynthetic pigmentsUAV dataRemote sensing can offer stakeholders opportunities to make precise and accurate decisions on agricultural activities. For instance, farmers can exploit aircraft systems to acquire survey-level, high-resolution imagery data for crop and soil management. Therefore, the objective of this study was to analyze whether an unmanned aerial vehicle (UAV) allows for the assessment and monitoring of biofertilization of the common bean upon vegetation indices (VIs). The biological treatment of the legume crop included its inoculation with phosphate-solubilizing bacteria (PSB), namely Bacillus subtilis and B. megaterium. Indicators of photosynthetic performance, such as chlorophylls (a and b) and carotenoids, were measured from actively growing leaves to determine effectiveness. In addition, images were acquired in the field, both spatially and temporally, to establish functional relationships between biometric and computational features. Microorganisms manifested as growth-promoting agents to the crop as they significantly increased its quantities of light-harvesting pigments. VIs allowed for predicting their impact on photosynthetic performance, making them on-site markers of PSB. Therefore, this research can provide insights into the remote, non-destructive mapping of spectral changes in the common bean upon the application of PSB. Imagery data from UAV would enable producers to generate information on the crop to intervene in the field at the right time and place for improved utilization of biofertilizers.Department of Agricultural Sciences School of Agricultural and Veterinary Sciences São Paulo State University (UNESP), São PauloDepartment of Engineering and Mathematical Sciences School of Agricultural and Veterinary Sciences São Paulo State University (UNESP), São PauloDepartment of Agricultural Sciences School of Agricultural and Veterinary Sciences São Paulo State University (UNESP), São PauloDepartment of Engineering and Mathematical Sciences School of Agricultural and Veterinary Sciences São Paulo State University (UNESP), São PauloUniversidade Estadual Paulista (UNESP)de Souza, Antonia Erica Santos [UNESP]Barbosa Júnior, Marcelo Rodrigues [UNESP]de Almeida Moreira, Bruno Rafael [UNESP]da Silva, Rouverson Pereira [UNESP]Lemos, Leandro Borges [UNESP]2023-07-29T15:12:13Z2023-07-29T15:12:13Z2022-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/agronomy12102284Agronomy, v. 12, n. 10, 2022.2073-4395http://hdl.handle.net/11449/24929710.3390/agronomy121022842-s2.0-85140458765Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAgronomyinfo:eu-repo/semantics/openAccess2024-06-07T13:55:36Zoai:repositorio.unesp.br:11449/249297Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:14:09.446417Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv UAV Multispectral Data: A Reliable Approach for Managing Phosphate-Solubilizing Bacteria in Common Bean
title UAV Multispectral Data: A Reliable Approach for Managing Phosphate-Solubilizing Bacteria in Common Bean
spellingShingle UAV Multispectral Data: A Reliable Approach for Managing Phosphate-Solubilizing Bacteria in Common Bean
de Souza, Antonia Erica Santos [UNESP]
common bean
phosphate-solubilizing bacteria
photosynthetic pigments
UAV data
title_short UAV Multispectral Data: A Reliable Approach for Managing Phosphate-Solubilizing Bacteria in Common Bean
title_full UAV Multispectral Data: A Reliable Approach for Managing Phosphate-Solubilizing Bacteria in Common Bean
title_fullStr UAV Multispectral Data: A Reliable Approach for Managing Phosphate-Solubilizing Bacteria in Common Bean
title_full_unstemmed UAV Multispectral Data: A Reliable Approach for Managing Phosphate-Solubilizing Bacteria in Common Bean
title_sort UAV Multispectral Data: A Reliable Approach for Managing Phosphate-Solubilizing Bacteria in Common Bean
author de Souza, Antonia Erica Santos [UNESP]
author_facet de Souza, Antonia Erica Santos [UNESP]
Barbosa Júnior, Marcelo Rodrigues [UNESP]
de Almeida Moreira, Bruno Rafael [UNESP]
da Silva, Rouverson Pereira [UNESP]
Lemos, Leandro Borges [UNESP]
author_role author
author2 Barbosa Júnior, Marcelo Rodrigues [UNESP]
de Almeida Moreira, Bruno Rafael [UNESP]
da Silva, Rouverson Pereira [UNESP]
Lemos, Leandro Borges [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv de Souza, Antonia Erica Santos [UNESP]
Barbosa Júnior, Marcelo Rodrigues [UNESP]
de Almeida Moreira, Bruno Rafael [UNESP]
da Silva, Rouverson Pereira [UNESP]
Lemos, Leandro Borges [UNESP]
dc.subject.por.fl_str_mv common bean
phosphate-solubilizing bacteria
photosynthetic pigments
UAV data
topic common bean
phosphate-solubilizing bacteria
photosynthetic pigments
UAV data
description Remote sensing can offer stakeholders opportunities to make precise and accurate decisions on agricultural activities. For instance, farmers can exploit aircraft systems to acquire survey-level, high-resolution imagery data for crop and soil management. Therefore, the objective of this study was to analyze whether an unmanned aerial vehicle (UAV) allows for the assessment and monitoring of biofertilization of the common bean upon vegetation indices (VIs). The biological treatment of the legume crop included its inoculation with phosphate-solubilizing bacteria (PSB), namely Bacillus subtilis and B. megaterium. Indicators of photosynthetic performance, such as chlorophylls (a and b) and carotenoids, were measured from actively growing leaves to determine effectiveness. In addition, images were acquired in the field, both spatially and temporally, to establish functional relationships between biometric and computational features. Microorganisms manifested as growth-promoting agents to the crop as they significantly increased its quantities of light-harvesting pigments. VIs allowed for predicting their impact on photosynthetic performance, making them on-site markers of PSB. Therefore, this research can provide insights into the remote, non-destructive mapping of spectral changes in the common bean upon the application of PSB. Imagery data from UAV would enable producers to generate information on the crop to intervene in the field at the right time and place for improved utilization of biofertilizers.
publishDate 2022
dc.date.none.fl_str_mv 2022-10-01
2023-07-29T15:12:13Z
2023-07-29T15:12:13Z
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 http://dx.doi.org/10.3390/agronomy12102284
Agronomy, v. 12, n. 10, 2022.
2073-4395
http://hdl.handle.net/11449/249297
10.3390/agronomy12102284
2-s2.0-85140458765
url http://dx.doi.org/10.3390/agronomy12102284
http://hdl.handle.net/11449/249297
identifier_str_mv Agronomy, v. 12, n. 10, 2022.
2073-4395
10.3390/agronomy12102284
2-s2.0-85140458765
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Agronomy
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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