Predicting soybean grain yield using aerial drone images.

ANDRADE JUNIOR, A. S. de; SILVA, S. P. da; SETUBAL, I. S.; SOUZA, H. A. de; VIEIRA, P. F. de M. J.; CASARI, R. A. das C. N.; ADERSON SOARES DE ANDRADE JUNIOR, CPAMN; SILVESTRE P. DA SILVA, UFPI; INGRID S. SETUBAL, UFPI; HENRIQUE ANTUNES DE SOUZA, CPAMN; PAULO FERNANDO DE MELO JORGE VIEIRA, CPAMN; RAPHAEL A. DAS C. N. CASARI, CNPAE.

Predicting soybean grain yield using aerial drone images.

This study aimed to evaluate the ability of vegetation indices (VIs) obtained from unmanned aerial vehicle (UAV) images to estimate soybean grain yield under soil and climate conditions in the Teresina microregion, Piaui state (PI), Brazil. Soybean cv. BRS-8980 was evaluated in stage R5 and submitted to two water regimes (WR) (100 and 50% of crop evapotranspiration - ETc) and two N levels (with and without N supplementation).

Saved in:

Bibliographic Details
Main Authors:	ANDRADE JUNIOR, A. S. de, SILVA, S. P. da, SETUBAL, I. S., SOUZA, H. A. de, VIEIRA, P. F. de M. J., CASARI, R. A. das C. N.
Other Authors:	ADERSON SOARES DE ANDRADE JUNIOR, CPAMN; SILVESTRE P. DA SILVA, UFPI; INGRID S. SETUBAL, UFPI; HENRIQUE ANTUNES DE SOUZA, CPAMN; PAULO FERNANDO DE MELO JORGE VIEIRA, CPAMN; RAPHAEL A. DAS C. N. CASARI, CNPAE.
Format:	Artigo de periódico biblioteca
Language:	Portugues pt_BR
Published:	2022-05-19
Subjects:	Aeronave remotamente pilotada, Índices de vegetação, Autocorrelação, Glycine Max,
Online Access:	http://www.alice.cnptia.embrapa.br/alice/handle/doc/1143266
Tags:	Add Tag No Tags, Be the first to tag this record!

id	dig-alice-doc-1143266
record_format	koha
spelling	dig-alice-doc-11432662022-05-19T20:13:51Z Predicting soybean grain yield using aerial drone images. ANDRADE JUNIOR, A. S. de SILVA, S. P. da SETUBAL, I. S. SOUZA, H. A. de VIEIRA, P. F. de M. J. CASARI, R. A. das C. N. ADERSON SOARES DE ANDRADE JUNIOR, CPAMN; SILVESTRE P. DA SILVA, UFPI; INGRID S. SETUBAL, UFPI; HENRIQUE ANTUNES DE SOUZA, CPAMN; PAULO FERNANDO DE MELO JORGE VIEIRA, CPAMN; RAPHAEL A. DAS C. N. CASARI, CNPAE. Aeronave remotamente pilotada Índices de vegetação Autocorrelação Glycine Max This study aimed to evaluate the ability of vegetation indices (VIs) obtained from unmanned aerial vehicle (UAV) images to estimate soybean grain yield under soil and climate conditions in the Teresina microregion, Piaui state (PI), Brazil. Soybean cv. BRS-8980 was evaluated in stage R5 and submitted to two water regimes (WR) (100 and 50% of crop evapotranspiration - ETc) and two N levels (with and without N supplementation). 2022-05-19T20:13:42Z 2022-05-19T20:13:42Z 2022-05-19 2022 Artigo de periódico Revista Brasileira de Engenharia Agrícola e Ambiental, v. 26, n. 6, p. 466-476, 2022. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1143266 Portugues pt_BR openAccess
institution	EMBRAPA
collection	DSpace
country	Brasil
countrycode	BR
component	Bibliográfico
access	En linea
databasecode	dig-alice
tag	biblioteca
region	America del Sur
libraryname	Sistema de bibliotecas de EMBRAPA
language	Portugues pt_BR
topic	Aeronave remotamente pilotada Índices de vegetação Autocorrelação Glycine Max Aeronave remotamente pilotada Índices de vegetação Autocorrelação Glycine Max
spellingShingle	Aeronave remotamente pilotada Índices de vegetação Autocorrelação Glycine Max Aeronave remotamente pilotada Índices de vegetação Autocorrelação Glycine Max ANDRADE JUNIOR, A. S. de SILVA, S. P. da SETUBAL, I. S. SOUZA, H. A. de VIEIRA, P. F. de M. J. CASARI, R. A. das C. N. Predicting soybean grain yield using aerial drone images.
description	This study aimed to evaluate the ability of vegetation indices (VIs) obtained from unmanned aerial vehicle (UAV) images to estimate soybean grain yield under soil and climate conditions in the Teresina microregion, Piaui state (PI), Brazil. Soybean cv. BRS-8980 was evaluated in stage R5 and submitted to two water regimes (WR) (100 and 50% of crop evapotranspiration - ETc) and two N levels (with and without N supplementation).
author2	ADERSON SOARES DE ANDRADE JUNIOR, CPAMN; SILVESTRE P. DA SILVA, UFPI; INGRID S. SETUBAL, UFPI; HENRIQUE ANTUNES DE SOUZA, CPAMN; PAULO FERNANDO DE MELO JORGE VIEIRA, CPAMN; RAPHAEL A. DAS C. N. CASARI, CNPAE.
author_facet	ADERSON SOARES DE ANDRADE JUNIOR, CPAMN; SILVESTRE P. DA SILVA, UFPI; INGRID S. SETUBAL, UFPI; HENRIQUE ANTUNES DE SOUZA, CPAMN; PAULO FERNANDO DE MELO JORGE VIEIRA, CPAMN; RAPHAEL A. DAS C. N. CASARI, CNPAE. ANDRADE JUNIOR, A. S. de SILVA, S. P. da SETUBAL, I. S. SOUZA, H. A. de VIEIRA, P. F. de M. J. CASARI, R. A. das C. N.
format	Artigo de periódico
topic_facet	Aeronave remotamente pilotada Índices de vegetação Autocorrelação Glycine Max
author	ANDRADE JUNIOR, A. S. de SILVA, S. P. da SETUBAL, I. S. SOUZA, H. A. de VIEIRA, P. F. de M. J. CASARI, R. A. das C. N.
author_sort	ANDRADE JUNIOR, A. S. de
title	Predicting soybean grain yield using aerial drone images.
title_short	Predicting soybean grain yield using aerial drone images.
title_full	Predicting soybean grain yield using aerial drone images.
title_fullStr	Predicting soybean grain yield using aerial drone images.
title_full_unstemmed	Predicting soybean grain yield using aerial drone images.
title_sort	predicting soybean grain yield using aerial drone images.
publishDate	2022-05-19
url	http://www.alice.cnptia.embrapa.br/alice/handle/doc/1143266
work_keys_str_mv	AT andradejuniorasde predictingsoybeangrainyieldusingaerialdroneimages AT silvaspda predictingsoybeangrainyieldusingaerialdroneimages AT setubalis predictingsoybeangrainyieldusingaerialdroneimages AT souzahade predictingsoybeangrainyieldusingaerialdroneimages AT vieirapfdemj predictingsoybeangrainyieldusingaerialdroneimages AT casariradascn predictingsoybeangrainyieldusingaerialdroneimages
_version_	1756028297186115584

Predicting soybean grain yield using aerial drone images.

Similar Items

Resource Map