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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemarte.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositoryltid.inpe.br/sbsr/2004/11.19.15.52
Last Update2005:03.18.18.09.44 (UTC) erich@sid.inpe.br
Metadata Repositoryltid.inpe.br/sbsr/2004/11.19.15.52.43
Metadata Last Update2018:06.06.02.42.21 (UTC) administrator
ISBN85-17-00018-8
Citation KeyBaessoPinQueSenKho:2005:DeNíDe
TitleDeterminação do nível de deficiência nutricional de nitrogênio no feijoeiro (Phaseolus vulgaris) utilizando redes neurais artificiais
FormatCD-ROM, On-line.
Year2005
Access Date2024, Dec. 26
Secondary TypePRE CN
Number of Files1
Size171 KiB
2. Context
Author1 Baesso, Murilo Mesquita
2 Pinto, Francisco de Assis de Carvalho
3 Queiroz, Daniel Marçal de
4 Sena Júnior, Darly Geraldo de
5 Khoury Júnior, Joseph Kalil
Affiliation1 Universidade Federal de Viçosa (UFV). DEA.
2 Universidade Federal de Viçosa (UFV). DEA.
3 Universidade Federal de Viçosa (UFV). DEA.
4 Universidade Federal de Viçosa (UFV). DEA.
5 Universidade Federal de Viçosa (UFV). DEA.
EditorEpiphanio, José Carlos Neves
Fonseca, Leila Maria Garcia
e-Mail Addressmurilo@vicosa.ufv.br
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 12 (SBSR)
Conference LocationGoiânia
Date16-21 abr. 2005
PublisherINPE
Publisher CitySão José dos Campos
Pages25-32
Book TitleAnais
Tertiary TypeArtigos
OrganizationInstituto Nacional de Pesquisas Espaciais
History (UTC)2005-04-04 16:28:21 :: sbsr -> administrator ::
2009-06-03 15:59:04 :: administrator -> sbsr ::
2009-06-30 14:25:46 :: sbsr -> erich@sid.inpe.br ::
2010-05-14 02:46:12 :: erich@sid.inpe.br -> marciana ::
2011-02-16 13:59:34 :: marciana -> administrator :: 2005
2018-06-06 02:42:21 :: administrator -> :: 2005
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsremote sensing
digital image processing
precision farming
sensoriamento remoto
processamento de imagens digitais
agricultura de precisão
AbstractThe objective of this work was to identify the nutritional deficiency of nitrogen in bean plants using spectral indexes and digital image processing techniques. To this aim were developed artificial neural networks with different numbers of neurons. After the acquisition of the images with a digital camera they were cut in blocks with the size of 20x20 and 40x40 pixels. The artificial neural networks worked well to determine the different doses of nitrogen applied in the bean plants. The results using the images acquired at 30 and 40 days after emergency were not different.
AreaSRE
TypeAgricultura
doc Directory Contentaccess
source Directory Content
BAESSO_XII_SBSR.doc 19/11/2004 15:52 93.0 KiB 
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.19.15.52
zipped data URLhttp://urlib.net/zip/ltid.inpe.br/sbsr/2004/11.19.15.52
LanguagePortuguês
Target FileBAESSO.pdf
User Groupadministrator
erich@sid.inpe.br
Visibilityshown
5. Allied materials
Mirror Repositorydpi.inpe.br/marte@80/2007/10.17.19.59
Host Collectiondpi.inpe.br/banon/2003/12.10.19.30
6. Notes
Mark1
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group identifier issn label lineage nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark url versiontype volume


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