UAV Multispectral Data: A Reliable Approach for Managing Phosphate-Solubilizing Bacteria in Common Bean
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
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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Repositório Institucional da UNESP |
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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 |
|
_version_ |
1808128622989410304 |