Relationship between spectral indices and quality parameters of tifton 85 forage

Detalhes bibliográficos
Autor(a) principal: Souza, Jhiorranni Freitas
Data de Publicação: 2024
Outros Autores: Costa, Anderson Gomide, Carvalho, João Célio Luna de, Santos, Lucas Andrade dos, Silva, Vinícius Pimentel, Barros, Murilo Machado de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Caatinga
Texto Completo: https://periodicos.ufersa.edu.br/caatinga/article/view/12139
Resumo: Computer vision systems can be an alternative to traditional methods of analyzing the quality of forage crops, allowing the instantaneous, non-destructive monitoring of the crop, with cost reduction. This study aimed to evaluate the quality parameters of Tifton 85 (Cynodon spp.) using digital images, relating spectral indices to the quality parameters of this forage. In the experimental area, four levels of nitrogen fertilization were applied and the analyses were made at different times after the standardization cut (14, 28, 42, and 56 days). The quality parameters evaluated were mineral matter, crude protein, and neutral detergent fiber. From images obtained in the visible (RGB) and near-infrared (RGNIR) spectral regions, spectral indices were generated. Principal component analysis was applied to summarize the information obtained by spectral indices into a single principal component (PC1). PC1 associated with spectral indices was related to forage quality parameters for each cutting time using simple quadratic regression models. The relationships between mineral matter and spectral indices were variable over time. Crude protein and neutral detergent fiber showed the highest relationships with the spectral indices obtained by RGNIR images already at the initial times. Thus, although the RGB images have shown satisfactory results to obtain information about the quality of Tifton 85, the NIR band tends to increase the reliability of the relationships at early times.
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spelling Relationship between spectral indices and quality parameters of tifton 85 forageRelação entre índices espectrais e parâmetros de qualidade da forrageira tifton 85Cynodon spp. Pastagens. Visão computacional. Imagens digitais.Cynodon spp. Pastures. Computer vision. Digital images.Computer vision systems can be an alternative to traditional methods of analyzing the quality of forage crops, allowing the instantaneous, non-destructive monitoring of the crop, with cost reduction. This study aimed to evaluate the quality parameters of Tifton 85 (Cynodon spp.) using digital images, relating spectral indices to the quality parameters of this forage. In the experimental area, four levels of nitrogen fertilization were applied and the analyses were made at different times after the standardization cut (14, 28, 42, and 56 days). The quality parameters evaluated were mineral matter, crude protein, and neutral detergent fiber. From images obtained in the visible (RGB) and near-infrared (RGNIR) spectral regions, spectral indices were generated. Principal component analysis was applied to summarize the information obtained by spectral indices into a single principal component (PC1). PC1 associated with spectral indices was related to forage quality parameters for each cutting time using simple quadratic regression models. The relationships between mineral matter and spectral indices were variable over time. Crude protein and neutral detergent fiber showed the highest relationships with the spectral indices obtained by RGNIR images already at the initial times. Thus, although the RGB images have shown satisfactory results to obtain information about the quality of Tifton 85, the NIR band tends to increase the reliability of the relationships at early times.Sistemas de visão computacional podem ser uma alternativa aos métodos tradicionais de análise de qualidade de culturas forrageiras, permitindo o monitoramento da lavoura de forma instantânea, não destrutiva, e com redução de custos. Esta pesquisa teve como objetivo avaliar parâmetros de qualidade do capim Tifton 85 (Cynodon spp.) por meio de imagens digitais, relacionando índices espectrais com parâmetros de qualidade desta forrageira. Na área experimental foram aplicados quatro níveis de adubação nitrogenada e as análises foram realizadas em diferentes épocas após o corte de uniformização (14, 28, 42 e 56 dias). Os parâmetros de qualidade avaliados foram a matéria mineral, proteína bruta e fibra em detergente neutro. A partir de imagens obtidas na região espectral do visível (RGB) e do infravermelho próximo (RGNIR), foram gerados índices espectrais. A análise de componentes principais foi aplicada para condensar as informações obtidas pelos índices espectrais em um único componente principal (PC1). Os PC1 associados aos índices espectrais foram relacionados com os parâmetros de qualidade da forrageira para cada época de corte utilizando modelos de regressão quadrática simples. As relações da matéria mineral e os índices espectrais foram variáveis ao longo das épocas. A proteína bruta e fibra em detergente neutro apresentaram as maiores relações com os índices espectrais obtidos pelas imagens RGNIR já nas épocas iniciais. Assim, embora as imagens RGB tenham apresentado resultados satisfatórios para se obter informações sobre a qualidade do Tifton 85, a utilização da banda NIR tende a aumentar a confiabilidade das relações em instantes de tempo precoces.Universidade Federal Rural do Semi-Árido2024-02-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufersa.edu.br/caatinga/article/view/1213910.1590/1983-21252024v3712139rcREVISTA CAATINGA; Vol. 37 (2024); e12139Revista Caatinga; v. 37 (2024); e121391983-21250100-316Xreponame:Revista Caatingainstname:Universidade Federal Rural do Semi-Árido (UFERSA)instacron:UFERSAenghttps://periodicos.ufersa.edu.br/caatinga/article/view/12139/11456Copyright (c) 2024 Revista Caatingainfo:eu-repo/semantics/openAccessSouza, Jhiorranni FreitasCosta, Anderson GomideCarvalho, João Célio Luna deSantos, Lucas Andrade dosSilva, Vinícius PimentelBarros, Murilo Machado de2024-04-22T17:59:19Zoai:ojs.periodicos.ufersa.edu.br:article/12139Revistahttps://periodicos.ufersa.edu.br/index.php/caatinga/indexPUBhttps://periodicos.ufersa.edu.br/index.php/caatinga/oaipatricio@ufersa.edu.br|| caatinga@ufersa.edu.br1983-21250100-316Xopendoar:2024-04-29T09:47:07.524760Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA)true
dc.title.none.fl_str_mv Relationship between spectral indices and quality parameters of tifton 85 forage
Relação entre índices espectrais e parâmetros de qualidade da forrageira tifton 85
title Relationship between spectral indices and quality parameters of tifton 85 forage
spellingShingle Relationship between spectral indices and quality parameters of tifton 85 forage
Souza, Jhiorranni Freitas
Cynodon spp. Pastagens. Visão computacional. Imagens digitais.
Cynodon spp. Pastures. Computer vision. Digital images.
title_short Relationship between spectral indices and quality parameters of tifton 85 forage
title_full Relationship between spectral indices and quality parameters of tifton 85 forage
title_fullStr Relationship between spectral indices and quality parameters of tifton 85 forage
title_full_unstemmed Relationship between spectral indices and quality parameters of tifton 85 forage
title_sort Relationship between spectral indices and quality parameters of tifton 85 forage
author Souza, Jhiorranni Freitas
author_facet Souza, Jhiorranni Freitas
Costa, Anderson Gomide
Carvalho, João Célio Luna de
Santos, Lucas Andrade dos
Silva, Vinícius Pimentel
Barros, Murilo Machado de
author_role author
author2 Costa, Anderson Gomide
Carvalho, João Célio Luna de
Santos, Lucas Andrade dos
Silva, Vinícius Pimentel
Barros, Murilo Machado de
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Souza, Jhiorranni Freitas
Costa, Anderson Gomide
Carvalho, João Célio Luna de
Santos, Lucas Andrade dos
Silva, Vinícius Pimentel
Barros, Murilo Machado de
dc.subject.por.fl_str_mv Cynodon spp. Pastagens. Visão computacional. Imagens digitais.
Cynodon spp. Pastures. Computer vision. Digital images.
topic Cynodon spp. Pastagens. Visão computacional. Imagens digitais.
Cynodon spp. Pastures. Computer vision. Digital images.
description Computer vision systems can be an alternative to traditional methods of analyzing the quality of forage crops, allowing the instantaneous, non-destructive monitoring of the crop, with cost reduction. This study aimed to evaluate the quality parameters of Tifton 85 (Cynodon spp.) using digital images, relating spectral indices to the quality parameters of this forage. In the experimental area, four levels of nitrogen fertilization were applied and the analyses were made at different times after the standardization cut (14, 28, 42, and 56 days). The quality parameters evaluated were mineral matter, crude protein, and neutral detergent fiber. From images obtained in the visible (RGB) and near-infrared (RGNIR) spectral regions, spectral indices were generated. Principal component analysis was applied to summarize the information obtained by spectral indices into a single principal component (PC1). PC1 associated with spectral indices was related to forage quality parameters for each cutting time using simple quadratic regression models. The relationships between mineral matter and spectral indices were variable over time. Crude protein and neutral detergent fiber showed the highest relationships with the spectral indices obtained by RGNIR images already at the initial times. Thus, although the RGB images have shown satisfactory results to obtain information about the quality of Tifton 85, the NIR band tends to increase the reliability of the relationships at early times.
publishDate 2024
dc.date.none.fl_str_mv 2024-02-02
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufersa.edu.br/caatinga/article/view/12139
10.1590/1983-21252024v3712139rc
url https://periodicos.ufersa.edu.br/caatinga/article/view/12139
identifier_str_mv 10.1590/1983-21252024v3712139rc
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufersa.edu.br/caatinga/article/view/12139/11456
dc.rights.driver.fl_str_mv Copyright (c) 2024 Revista Caatinga
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Revista Caatinga
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal Rural do Semi-Árido
publisher.none.fl_str_mv Universidade Federal Rural do Semi-Árido
dc.source.none.fl_str_mv REVISTA CAATINGA; Vol. 37 (2024); e12139
Revista Caatinga; v. 37 (2024); e12139
1983-2125
0100-316X
reponame:Revista Caatinga
instname:Universidade Federal Rural do Semi-Árido (UFERSA)
instacron:UFERSA
instname_str Universidade Federal Rural do Semi-Árido (UFERSA)
instacron_str UFERSA
institution UFERSA
reponame_str Revista Caatinga
collection Revista Caatinga
repository.name.fl_str_mv Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA)
repository.mail.fl_str_mv patricio@ufersa.edu.br|| caatinga@ufersa.edu.br
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