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Registro Completo |
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
24/07/2023 |
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Data da última atualização: |
24/07/2023 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
GUIMARÃES, G. S.; CANELOSSI, B. F.; NOGUEIRA, M. A.; HUNGRIA, M. |
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Afiliação: |
G. S. GUIMARÃES, UEL; B. F. CANELOSSI, UNIFIL; MARCO ANTONIO NOGUEIRA, CNPSO; MARIANGELA HUNGRIA DA CUNHA, CNPSO. |
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Título: |
Efeito da inoculação com bactérias promotoras do crescimento de plantas em pastagens de Megathyrsus maximus cv. BRS Zuri e Urochloa ruziziensis. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
In: JORNADA ACADÊMICA DA EMBRAPA SOJA, 18., 2023, Londrina. Resumos expandidos... Londrina: Embrapa Soja, 2023. (Embrapa Soja. Documentos, 453). Regina Maria Villas Bôas de Campos Leite, Larissa Alexandra Cardoso Moraes, Kelly Catharin, Editoras Técnicas. |
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Páginas: |
p. 74-79. |
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Idioma: |
Português |
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Thesagro: |
Soja. |
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Thesaurus Nal: |
Soybeans. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1155212/1/p-74-DOCUMENTOS-453-Jorn-Acad-2023-12.pdf
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Marc: |
LEADER 00789nam a2200169 a 4500
001 2155212
005 2023-07-24
008 2023 bl uuuu u00u1 u #d
100 1 $aGUIMARÃES, G. S.
245 $aEfeito da inoculação com bactérias promotoras do crescimento de plantas em pastagens de Megathyrsus maximus cv. BRS Zuri e Urochloa ruziziensis.$h[electronic resource]
260 $aIn: JORNADA ACADÊMICA DA EMBRAPA SOJA, 18., 2023, Londrina. Resumos expandidos... Londrina: Embrapa Soja, 2023. (Embrapa Soja. Documentos, 453). Regina Maria Villas Bôas de Campos Leite, Larissa Alexandra Cardoso Moraes, Kelly Catharin, Editoras Técnicas.$c2023
300 $ap. 74-79.
650 $aSoybeans
650 $aSoja
700 1 $aCANELOSSI, B. F.
700 1 $aNOGUEIRA, M. A.
700 1 $aHUNGRIA, M.
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Registro original: |
Embrapa Soja (CNPSO) |
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Biblioteca |
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Origem |
Tipo/Formato |
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Cutter |
Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio-Norte. |
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Data corrente: |
11/05/2022 |
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Data da última atualização: |
11/05/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
ANDRADE JUNIOR, A. S. de; SILVA, S. P. da; SETÚBAL, I. S.; SOUZA, H. A. de; VIEIRA, P. F. de M. J. |
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Afiliação: |
ADERSON SOARES DE ANDRADE JUNIOR, CPAMN; SILVESTRE P. DA SILVA, UFPI; INGRID S. SETÚBAL; HENRIQUE ANTUNES DE SOUZA, CPAMN; PAULO FERNANDO DE MELO JORGE VIEIRA, CPAMN. |
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Título: |
Remote Detection of water and nutritional status of soybeans using UAV-based images. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Engenharia Agrícola, v. 42, n. 2, e20210177, 2022. |
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ISSN: |
1809-4430 |
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Idioma: |
Inglês |
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Conteúdo: |
Digital aerial images obtained by cameras embedded in remotely piloted aircraft (RPA) have been used to detect and monitor abiotic stresses in soybeans, such as water and nutritional deficiencies. This study aimed to evaluate the ability of vegetation indexes (VIs) from RPA images to remotely detect water and nutritional status in two soybean cultivars for nitrogen. The soybean cultivars BONUS and BRS-8980 were evaluated at the phenological stages R5 and R3 (beginning of seed enlargement), respectively. To do so, plants were subjected to two water regimes (100% ETc and 50% ETc) and two nitrogen (N) supplementation levels (with and without). Thirty-five VIs from multispectral aerial images were evaluated and correlated with stomatal conductance (gs) and leaf N content (NF) measurements. Near-infrared (NIR) spectral band, enhanced vegetation index (EVI), soil-adjusted vegetation index (SAVI), and renormalized difference vegetation index (RDVI) showed linear correlation (p<0.001) with gs, standing out as promising indexes for detection of soybean water status. In turn, simplified canopy chlorophyll content index (SCCCI), red-edge chlorophyll index (RECI), green ratio vegetation index (GRVI), and chlorophyll vegetation index (CVI) were correlated with NF (p<0.001), thus being considered promising for the detection of leaf N content in soybeans. |
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Palavras-Chave: |
Drone; RPA; Troca gasosa. |
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Thesagro: |
Glycine Max. |
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Thesaurus NAL: |
Gas exchange; Vegetation index. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1142883/1/REMOTE-DetectionWaterNutritionalStatusSoybeansEAgri42.2022.pdf
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Marc: |
LEADER 02081naa a2200253 a 4500
001 2142883
005 2022-05-11
008 2022 bl uuuu u00u1 u #d
022 $a1809-4430
100 1 $aANDRADE JUNIOR, A. S. de
245 $aRemote Detection of water and nutritional status of soybeans using UAV-based images.$h[electronic resource]
260 $c2022
520 $aDigital aerial images obtained by cameras embedded in remotely piloted aircraft (RPA) have been used to detect and monitor abiotic stresses in soybeans, such as water and nutritional deficiencies. This study aimed to evaluate the ability of vegetation indexes (VIs) from RPA images to remotely detect water and nutritional status in two soybean cultivars for nitrogen. The soybean cultivars BONUS and BRS-8980 were evaluated at the phenological stages R5 and R3 (beginning of seed enlargement), respectively. To do so, plants were subjected to two water regimes (100% ETc and 50% ETc) and two nitrogen (N) supplementation levels (with and without). Thirty-five VIs from multispectral aerial images were evaluated and correlated with stomatal conductance (gs) and leaf N content (NF) measurements. Near-infrared (NIR) spectral band, enhanced vegetation index (EVI), soil-adjusted vegetation index (SAVI), and renormalized difference vegetation index (RDVI) showed linear correlation (p<0.001) with gs, standing out as promising indexes for detection of soybean water status. In turn, simplified canopy chlorophyll content index (SCCCI), red-edge chlorophyll index (RECI), green ratio vegetation index (GRVI), and chlorophyll vegetation index (CVI) were correlated with NF (p<0.001), thus being considered promising for the detection of leaf N content in soybeans.
650 $aGas exchange
650 $aVegetation index
650 $aGlycine Max
653 $aDrone
653 $aRPA
653 $aTroca gasosa
700 1 $aSILVA, S. P. da
700 1 $aSETÚBAL, I. S.
700 1 $aSOUZA, H. A. de
700 1 $aVIEIRA, P. F. de M. J.
773 $tEngenharia Agrícola$gv. 42, n. 2, e20210177, 2022.
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Registro original: |
Embrapa Meio-Norte (CPAMN) |
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