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| Registros recuperados : 42 | |
| 12. |  | FIGUEIREDO, E. O.; SILVA, M. P. da; SILVA, S. P. da. Atendimento de demandas no centro de informação da pimenta longa da Embrapa Acre. In: WORKSHOP DE ENCERRAMENTO DO PROJETO DE DESENVOLVIMENTO DE TECNOLOGIAS PARA PRODUÇÃO DE SAFROL A PARTIR DE PIMENTA LONGA (Piper hispidinervum) 1., 2001, Rio Branco, AC. Anais... Rio Branco, AC: Embrapa Acre; Belém, PA: Embrapa Amazônia Oriental, 2001. p. 211-215. (Embrapa Acre. Documentos, 75).| Biblioteca(s): Embrapa Acre. |
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| 14. | | MATSUMOTO, K.; LIMA, F. A.; MORAIS, L. S.; SILVA, S. P. da; SOUZA, A. da S. Na casa de vegetacao e no campo, estudo preliminar dos hibridos somaticos de bananeira obtidos da fusao de protoplastos, em respeito ao comportamento. In: ENCONTRO LATINO-AMERICANO DE BIOTECNOLOGIA VEGETAL: REDBIO, 4., 2001, Goiania. Programa e resumos. [S.l.:s.n.], 2001. p.80. Secao resumos.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 19. | | SILVA, S. P. da; MATOS, R. da S.; BRITO, L. F.; SILVA, M. M. C. da; RODRIGUES, M. T. Acidez titulável e lipólise no leite caprino em função do tempo de armazenamento no tanque de refrigeração. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 45., 2008, Lavras. Biotecnologia e sustentabilidade: anais. Brasília, DF: SBZ; Lavras: UFLA, 2008. 1 CD-ROM. Palavras?chave: características físico-químicas, Dornic, qualidade| Biblioteca(s): Embrapa Caprinos e Ovinos. |
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| 20. | | FIGUEIREDO, S. P. de; NASCIMENTO NETO, F. do; PURCINO, L. S.; SILVA, S. P. da (in memorian). "Além do rótulo" e "labirinto do consumo". In: VOGHT, C.; DIAS, S.; BARATA, G.; KANASHIRO, M. (Org.). Comunicação, divulgação e percepção de ciência e tecnologia (C&T). Petrópolis: De Petrus et Alli, 2013. p. 75-92| Biblioteca(s): Embrapa Agroindústria de Alimentos. |
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| Registros recuperados : 42 | |
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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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