Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1084542
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dc.contributor.authorMENDONÇA, L. D. de
dc.contributor.authorARROYAVE, C. G. C.
dc.contributor.authorLIMA, E. R. de
dc.contributor.authorVICENTE, L. E.
dc.date.accessioned2018-01-08T23:18:58Z-
dc.date.available2018-01-08T23:18:58Z-
dc.date.created2018-01-08
dc.date.issued2017
dc.identifier.citationIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017. Trabalho 60225.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1084542-
dc.descriptionAgricultural optimization and increased productivity is always a growing concern, due to the increasing population. Crops susceptible to a wide variety of hindering conditions, need to be carefully observed and managed to guarantee maximum production. Many diseases, weather changes, soil variances and other in?uencing factors are only visible after the plant has reached a deplorable state and its neighbors closely trailing behind. Ongoing research is enhancing an observation model that can better prevent such factors, but many still present a variety of limiting factors that are still being studied. Vegetation indices is a long dated studied concept that has proven to be able to show plant response to stress before visible signs are present. To take advantage of this we propose a multi-spectral camera, aimed at mass use, to provide the needed observation with top of the line, reliable results. The built prototype was put through two different tests, both showing it capable of displaying plant health. The ?ne control test showed the camera capable of displaying difference in plant health after only two days of stress. The results were reached with out the use of expensive lenses/?lters, and provide easy to interpret results. All while being able to send data to a nearby portable device.
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectHigh resolution
dc.subjectProcessamento de imagens
dc.subjectAlta resolução
dc.subjectImagem analysispt_BR
dc.titleLow-cost multi-spectral camera platform for in-flight near real-time vegetation index computation and delivery.
dc.typeArtigo em anais e proceedings
dc.date.updated2018-01-08T23:18:58Zpt_BR
dc.subject.thesagroSensoriamento remoto
dc.subject.nalthesaurusRemote sensing
dc.subject.nalthesaurusVegetation index
dc.format.extent2p. 7597-7604.
riaa.ainfo.id1084542
riaa.ainfo.lastupdate2018-01-08
dc.contributor.institutionLUCAS DIOGO DE MENDONÇA, Instituto de Pesquisas Eldorado; CESAR GIOVANNI CHAVES ARROYAVE, Instituto de Pesquisas Eldorado; EDUARDO RODDRIGUES DE LIMA, Instituto de Pesquisas Eldorado; LUIZ EDUARDO VICENTE, CNPMA.
Aparece nas coleções:Artigo em anais de congresso (CNPMA)

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