Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil)

Detalhes bibliográficos
Autor(a) principal: Costa, Tayron Rayan Sobrinho
Data de Publicação: 2021
Outros Autores: Azevedo, Marianne Costa de, Costa, José Eldo, Sousa, Valéria Fernandes de Oliveira, Silva, Antonio Veimar da, Mielezrski, Fábio
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/16403
Resumo: For better control and efficiency of agricultural crops in Brazilian semiarid regions, the use of evaluations with data from remote sensing in conjunction with geographic information systems (GIS) are being widely used. This work aimed to evaluate the response of corn genotypes in a succession cultivation system to vegetation cover plants. The survey was conducted in Areia, Paraíba, Brazil, in the agricultural years of 2018/2019 and 2019/2020. The design was in completely randomized blocks, with four replications, in a 3 × 6 factorial scheme, corresponding to three corn genotypes (Robusto, Pontinha and AG1051) and six cultivation systems [(Brachiaria ruziziensis, millet (Pennisetum glaucum), pigeonpea (Cajanus cajan), Crotalária espectabilis, Crotalária juncea and as witness only the uncovered soil)], totaling 18 treatments. Vegetable indices of Visible Atmospherically Resistant Index, Redness Index, Normalized green-Red Difference Index, Ground Level Image Analysis, Excess Red-Green, Excess Red Vegetative Index, Excess Green Index and the Color Index of Vegetation Extraction were evaluated. The results showed that to observe differences between the corn genotypes, the use of the Excess Red Vegetative Index is indicated. To observe differences in the effect of cover crops on corn, the Normalized green-Red Difference is indicated.
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spelling Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil)Índices fotogramétricos de plantas en maíz en sucesión a cultivos de cobertura del suelo en Areia, Paraíba (Brasil)Índices vegetais fotogramétricos no milho em sucessão a plantas de cobertura do solo em Areia, Paraíba (Brasil)Coverage plantsZea maysDroneRemote sensing.Plantas de coberturaZea maysDroneSensoriamento remoto.Plantas de coberturaZea maysDronesTeledetección.For better control and efficiency of agricultural crops in Brazilian semiarid regions, the use of evaluations with data from remote sensing in conjunction with geographic information systems (GIS) are being widely used. This work aimed to evaluate the response of corn genotypes in a succession cultivation system to vegetation cover plants. The survey was conducted in Areia, Paraíba, Brazil, in the agricultural years of 2018/2019 and 2019/2020. The design was in completely randomized blocks, with four replications, in a 3 × 6 factorial scheme, corresponding to three corn genotypes (Robusto, Pontinha and AG1051) and six cultivation systems [(Brachiaria ruziziensis, millet (Pennisetum glaucum), pigeonpea (Cajanus cajan), Crotalária espectabilis, Crotalária juncea and as witness only the uncovered soil)], totaling 18 treatments. Vegetable indices of Visible Atmospherically Resistant Index, Redness Index, Normalized green-Red Difference Index, Ground Level Image Analysis, Excess Red-Green, Excess Red Vegetative Index, Excess Green Index and the Color Index of Vegetation Extraction were evaluated. The results showed that to observe differences between the corn genotypes, the use of the Excess Red Vegetative Index is indicated. To observe differences in the effect of cover crops on corn, the Normalized green-Red Difference is indicated.Para un mejor control y eficiencia de los cultivos agrícolas en las regiones semiáridas brasileñas, se está utilizando ampliamente el uso de evaluaciones con datos de teledetección en conjunto con sistemas de información geográfica (SIG). Este trabajo tuvo como objetivo evaluar la respuesta de genotipos de maíz en un sistema de cultivo de sucesión a plantas de cobertura vegetal. La encuesta se realizó en Areia, Paraíba, Brasil, en los años agrícolas 2018/2019 y 2019/2020. El diseño fue en bloques completamente al azar, con cuatro repeticiones, en un esquema factorial 3 × 6, correspondientes a tres genotipos de maíz (Robusto, Pontinha y AG1051) y seis sistemas de cultivo [(Brachiaria ruziziensis, mijo (Pennisetum glaucum), guandú (Cajanus cajan), Crotalária espectabilis, Crotalária juncea y como testimonio solo el suelo descubierto)], totalizando 18 tratamientos. Se evaluaron los índices vegetales de Visible Atmospherically Resistant Index, Redness Index, Normalized green-Red Difference Index, Ground Level Image Analysis, Excess Red-Green, Excess Red Vegetative Index, Excess Green Index y Color Index of Vegetation Extraction. Los resultados mostraron que para observar diferencias entre los genotipos de maíz se indica el uso del Excess Red Vegetative Index. Para observar las diferencias en el efecto de los cultivos de cobertura sobre el maíz, se indica la Normalized green-Red Difference.Para melhor controle e eficiência dos cultivos agrícolas nas regiões semiáridas brasileiras, o uso de avaliações com dados provenientes de sensoriamento remoto em conjunto com sistemas de informações geográficas (SIG) estão sendo amplamente utilizados. Neste trabalho objetivou-se comparar os índices vegetativos em sistema de cultivo de milho e plantas de cobertura do solo nas condições semiáridas do Brejo da Paraíba. A pesquisa foi realizada em Areia, Paraíba, Brasil, nos anos agrícolas de 2018/2019 e 2019/2020. O delineamento foi em blocos casualizados, com quatro repetições, no esquema fatorial 3 × 6, correspondente a três genótipos de milho (cultivar Robusto, milho crioulo Pontinha e híbrido AG1051) e seis sistemas de cultivo de plantas de cobertura [(Brachiaria ruziziensis, milheto (Pennisetum glaucum), feijão guandu (Cajanus cajan), Crotalária espectabilis, Crotalária juncea e como testemunha apenas o solo descoberto)], totalizando 18 tratamentos. Foram avaliados os índices vegetais de Visible Atmospherically Resistant Index, Redness Index, Normalized green-Red Difference Index, Ground Level Image Analysis, Excess Red-Green, Excess Red Vegetative Index, Excess Green Index e o Color Index of Vegetation Extraction. De maneira geral, os resultados demonstraram que para observar diferenças entre os genótipos de milho é indicado o uso do índice Excess Red Vegetative Index. Para observar diferenças do efeito das plantas de cobertura no milho, indica-se o Normalized green-Red Difference.Research, Society and Development2021-06-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1640310.33448/rsd-v10i7.16403Research, Society and Development; Vol. 10 No. 7; e7510716403Research, Society and Development; Vol. 10 Núm. 7; e7510716403Research, Society and Development; v. 10 n. 7; e75107164032525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/16403/14545Copyright (c) 2021 Tayron Rayan Sobrinho Costa; Marianne Costa de Azevedo; José Eldo Costa; Valéria Fernandes de Oliveira Sousa; Antonio Veimar da Silva; Fábio Mielezrskihttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCosta, Tayron Rayan SobrinhoAzevedo, Marianne Costa deCosta, José EldoSousa, Valéria Fernandes de OliveiraSilva, Antonio Veimar daMielezrski, Fábio2021-07-18T21:07:03Zoai:ojs.pkp.sfu.ca:article/16403Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:36:57.606131Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil)
Índices fotogramétricos de plantas en maíz en sucesión a cultivos de cobertura del suelo en Areia, Paraíba (Brasil)
Índices vegetais fotogramétricos no milho em sucessão a plantas de cobertura do solo em Areia, Paraíba (Brasil)
title Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil)
spellingShingle Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil)
Costa, Tayron Rayan Sobrinho
Coverage plants
Zea mays
Drone
Remote sensing.
Plantas de cobertura
Zea mays
Drone
Sensoriamento remoto.
Plantas de cobertura
Zea mays
Drones
Teledetección.
title_short Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil)
title_full Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil)
title_fullStr Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil)
title_full_unstemmed Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil)
title_sort Photogrammetric plant indices in corn in succession to ground cover crops in Areia, Paraíba (Brazil)
author Costa, Tayron Rayan Sobrinho
author_facet Costa, Tayron Rayan Sobrinho
Azevedo, Marianne Costa de
Costa, José Eldo
Sousa, Valéria Fernandes de Oliveira
Silva, Antonio Veimar da
Mielezrski, Fábio
author_role author
author2 Azevedo, Marianne Costa de
Costa, José Eldo
Sousa, Valéria Fernandes de Oliveira
Silva, Antonio Veimar da
Mielezrski, Fábio
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Costa, Tayron Rayan Sobrinho
Azevedo, Marianne Costa de
Costa, José Eldo
Sousa, Valéria Fernandes de Oliveira
Silva, Antonio Veimar da
Mielezrski, Fábio
dc.subject.por.fl_str_mv Coverage plants
Zea mays
Drone
Remote sensing.
Plantas de cobertura
Zea mays
Drone
Sensoriamento remoto.
Plantas de cobertura
Zea mays
Drones
Teledetección.
topic Coverage plants
Zea mays
Drone
Remote sensing.
Plantas de cobertura
Zea mays
Drone
Sensoriamento remoto.
Plantas de cobertura
Zea mays
Drones
Teledetección.
description For better control and efficiency of agricultural crops in Brazilian semiarid regions, the use of evaluations with data from remote sensing in conjunction with geographic information systems (GIS) are being widely used. This work aimed to evaluate the response of corn genotypes in a succession cultivation system to vegetation cover plants. The survey was conducted in Areia, Paraíba, Brazil, in the agricultural years of 2018/2019 and 2019/2020. The design was in completely randomized blocks, with four replications, in a 3 × 6 factorial scheme, corresponding to three corn genotypes (Robusto, Pontinha and AG1051) and six cultivation systems [(Brachiaria ruziziensis, millet (Pennisetum glaucum), pigeonpea (Cajanus cajan), Crotalária espectabilis, Crotalária juncea and as witness only the uncovered soil)], totaling 18 treatments. Vegetable indices of Visible Atmospherically Resistant Index, Redness Index, Normalized green-Red Difference Index, Ground Level Image Analysis, Excess Red-Green, Excess Red Vegetative Index, Excess Green Index and the Color Index of Vegetation Extraction were evaluated. The results showed that to observe differences between the corn genotypes, the use of the Excess Red Vegetative Index is indicated. To observe differences in the effect of cover crops on corn, the Normalized green-Red Difference is indicated.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-14
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://rsdjournal.org/index.php/rsd/article/view/16403
10.33448/rsd-v10i7.16403
url https://rsdjournal.org/index.php/rsd/article/view/16403
identifier_str_mv 10.33448/rsd-v10i7.16403
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/16403/14545
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://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 Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 10 No. 7; e7510716403
Research, Society and Development; Vol. 10 Núm. 7; e7510716403
Research, Society and Development; v. 10 n. 7; e7510716403
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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